knackhook@ops:~$knackhook --about

# Technology Delivery Partner · est. 2016

Digital. Data. AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

./start-a-project.shcat capabilities/*
$ also a staffing partner for IT teams that need vetted talent, not a project

knackhook@ops:~$knackhook --stats

2016
Established
30+
Global partners
98%
Client retention
25+
Projects shipped

knackhook@ops:~$knackhook practices --list

# three practices. one tagline that's actually the sitemap.

[digital] Digital

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

  • - Cloud Infrastructure
  • - Enterprise ERP
  • - App Engineering

[data] Data

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

  • - Data Intelligence
  • - Real-Time Telemetry

[ai] AI

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

  • - AI & Automation
  • - Responsible AI
  • - Strategic Consulting

knackhook@ops:~$ls -la /capabilities/

# total 8 — click/focus an entry to cat its contents

  • -rw-r--r--knackhookdigital01-cloud-infrastructure.txtScalable architecture

    Cloud Infrastructure

    // Scalable architecture

    Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

    $ cat problem.txt

    Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

    $ cat approach.txt

    We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

    stack: AzureAWSKubernetesTerraform

  • -rw-r--r--knackhookdigital02-enterprise-erp.txtSystem integration

    Enterprise ERP

    // System integration

    Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

    $ cat problem.txt

    Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

    $ cat approach.txt

    We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

    stack: SAPMicrosoft DynamicsREST/ODataAzure Data Factory

  • -rw-r--r--knackhookdigital03-app-engineering.txtWeb & mobile

    App Engineering

    // Web & mobile

    Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

    $ cat problem.txt

    Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

    $ cat approach.txt

    We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

    stack: ReactNext.js.NETiOSAndroid

  • -rw-r--r--knackhookdata04-data-intelligence.txtAdvanced analytics

    Data Intelligence

    // Advanced analytics

    Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

    $ cat problem.txt

    Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

    $ cat approach.txt

    We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

    stack: Microsoft FabricPower BIAzure Data Factorydbt

  • -rw-r--r--knackhookdata05-real-time-telemetry.txtStreaming & observability

    Real-Time Telemetry

    // Streaming & observability

    Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

    $ cat problem.txt

    Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

    $ cat approach.txt

    We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

    stack: KafkaClickHouseGrafanaOpenTelemetry

  • -rw-r--r--knackhookai06-ai-automation.txtCognitive computing

    AI & Automation

    // Cognitive computing

    Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

    $ cat problem.txt

    Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

    $ cat approach.txt

    We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

    stack: PyTorchAzure OpenAILangChainVector DB

  • -rw-r--r--knackhookai07-responsible-ai.txtGovernance & safety

    Responsible AI

    // Governance & safety

    Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

    $ cat problem.txt

    AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

    $ cat approach.txt

    We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

    stack: Bias DetectionPII RedactionAudit LoggingGDPR

  • -rw-r--r--knackhookai08-strategic-consulting.txtDigital transformation

    Strategic Consulting

    // Digital transformation

    Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

    $ cat problem.txt

    Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

    $ cat approach.txt

    The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

    stack: RoadmappingVendor EvaluationArchitecture Review

knackhook@ops:~$knackhook --engagement-models

# two ways to work with us. same bar for talent, different model.

technology_partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

see delivery case studies →

staffing_partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

explore staffing augmentation →

knackhook@ops:~$knackhook labs --list

# 7 engagements on record — showing 4, anonymized per client agreement

[Public sector · Data & AI]#01

20 years of venue data, unified overnight

// client: Multi-venue public facilities operator

problem: Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

approach: Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrs data consolidated6+ venues unifiedDays → min reporting cycle
[Transportation · Predictive AI]#02

Forecasting demand for a regional operator

// client: Regional transportation operator

problem: Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

approach: Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+ sources unifiedLive ML forecasting3 stakeholder groups
[FinTech · Full-stack SaaS]#03

One platform, three very different users

// client: Lending platform operator

problem: Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

approach: Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3 user rolesAI/ML pricing engineAzure cloud native
[Marketplace · Web & mobile]#04

Zero to production across web, iOS, and Android

// client: Ticket marketplace operator

problem: No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

approach: Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 mo to launch3 platforms shippedLive pricing engine

cat /labs/* — 7 total engagements logged → /labs

knackhook@ops:~$jobs --list

# 9 open roles. reach hr@knackhook.com with the role in the subject line.

01000.NET Full-Stack DeveloperHyderabad / RemoteFull-time

$ cat -net-full-stack-developer.txt

$ cat responsibilities.txt

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

$ cat qualifications.txt

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01007Project ManagerBellevue, WAFull-time

$ cat project-manager.txt

$ cat responsibilities.txt

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

$ cat qualifications.txt

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01014Network EngineerHyderabadFull-time

$ cat network-engineer.txt

$ cat responsibilities.txt

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

$ cat qualifications.txt

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01021Azure Data EngineerRemoteFull-time

$ cat azure-data-engineer.txt

$ cat responsibilities.txt

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

$ cat qualifications.txt

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01028UI/UX DesignerRemoteFull-time

$ cat ui-ux-designer.txt

$ cat responsibilities.txt

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

$ cat qualifications.txt

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01035Data AnalystHyderabadFull-time

$ cat data-analyst.txt

$ cat responsibilities.txt

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

$ cat qualifications.txt

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01042System Support EngineerBellevue, WAFull-time

$ cat system-support-engineer.txt

$ cat responsibilities.txt

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

$ cat qualifications.txt

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01049Data ScientistRemoteFull-time

$ cat data-scientist.txt

$ cat responsibilities.txt

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

$ cat qualifications.txt

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

01056SAP SpecialistBellevue, WAFull-time

$ cat sap-specialist.txt

$ cat responsibilities.txt

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

$ cat qualifications.txt

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.

mail --to hr@knackhook.comcall --to +1 (425) 548-6321

knackhook@ops:~$knackhook contact

# offices on record

country: United States

entity: KnackHook LLC

address: 1420 156th Ave NE Suite F, Bellevue, WA 98007-4421

email: info@knackhook.com

phone: +1 (425) 548-6321

country: India

entity: KnackHook IT Services Pvt. Ltd.

address: Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084

email: info@knackhook.com

phone: +91 (868) 862-3071

response_time: usually within 1 business day

fastest_path: email — the form on the right goes straight to our inbox

prefer_a_call: ring either office above and ask for the delivery team

# run ./contact-form --interactive

Cover — Statement of Capability

Digital. Data. AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

This dossier sets out, in formal register, the practices, capability exhibits, open requisitions, and engagement channels of record for KnackHook. All figures below are as filed and current as of the preparation date above.

File an Engagement RequestReview Exhibits A–H
Also filed under Section III: the firm engages as a Staffing Partnerfor IT teams that require vetted talent, not a project
2016
Established
30+
Global partners
98%
Client retention
25+
Projects shipped

01 / 08Cover

SECTION I

Organizing Practices

The firm is organized into three standing practices. Every capability exhibit in Section II is filed under exactly one of the three below.

§1 — Practice Area

Digital

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

Filed capabilities

  1. Cloud Infrastructure
  2. Enterprise ERP
  3. App Engineering

§2 — Practice Area

Data

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

Filed capabilities

  1. Data Intelligence
  2. Real-Time Telemetry

§3 — Practice Area

AI

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

Filed capabilities

  1. AI & Automation
  2. Responsible AI
  3. Strategic Consulting

02 / 08Organizing Practices

SECTION II

Capability Exhibits

Eight exhibits follow, lettered A through H, one per capability of record. Each exhibit may be expanded to reveal Findings (the problem as observed in the field) and our Recommendation (the approach taken). Collapsed exhibits remain fully present in the document; expansion is a reading convenience only.

Exhibit A01–cloud-infrastructureCloud InfrastructureScalable architecturedigital

Scalable architecture

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

Findings

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Recommendation

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

Referenced stack

  • Azure
  • AWS
  • Kubernetes
  • Terraform
Exhibit B02–enterprise-erpEnterprise ERPSystem integrationdigital

System integration

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

Findings

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Recommendation

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

Referenced stack

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
Exhibit C03–app-engineeringApp EngineeringWeb & mobiledigital

Web & mobile

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

Findings

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Recommendation

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

Referenced stack

  • React
  • Next.js
  • .NET
  • iOS
  • Android
Exhibit D04–data-intelligenceData IntelligenceAdvanced analyticsdata

Advanced analytics

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

Findings

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Recommendation

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

Referenced stack

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
Exhibit E05–real-time-telemetryReal-Time TelemetryStreaming & observabilitydata

Streaming & observability

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

Findings

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Recommendation

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

Referenced stack

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
Exhibit F06–ai-automationAI & AutomationCognitive computingai

Cognitive computing

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

Findings

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Recommendation

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

Referenced stack

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
Exhibit G07–responsible-aiResponsible AIGovernance & safetyai

Governance & safety

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

Findings

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Recommendation

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

Referenced stack

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
Exhibit H08–strategic-consultingStrategic ConsultingDigital transformationai

Digital transformation

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

Findings

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Recommendation

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

Referenced stack

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

03 / 08Capability Exhibits

SECTION III

Modes of Engagement

The firm engages with clients under one of two standing arrangements, set out below. Both are held to the same standard of talent; they differ in who directs the work.

Arrangement A — Technology Partner

We build and own delivery

The client directs the outcome; the firm directs the team, architecture, and accountability — drawing on the practices and exhibits above, delivered as a complete engagement.

Review Case Files →

Arrangement B — Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into the client's existing process, directed by the client, sourced and vetted by the firm.

Review Staffing Provisions →

04 / 08Modes of Engagement

SECTION IV

Record of Prior Engagements

Four case files follow, lettered as exhibits, drawn from the firm's engagement archive and generalized to protect client confidentiality. Each entry records the matter as presented, the approach taken, and the disposition reached.

Case APublic sector · Data & AI20 years of venue data, unified overnightdata

Client of record

Multi-venue public facilities operator

Findings

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Recommendation

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Disposition

Reporting time cut from days to minutes

Filed metrics

  • 20+ yrs data consolidated
  • 6+ venues unified
  • Days → min reporting cycle
Case BTransportation · Predictive AIForecasting demand for a regional operatorai

Client of record

Regional transportation operator

Findings

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Recommendation

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Disposition

Reactive reporting replaced with live forecasting

Filed metrics

  • 5+ sources unified
  • Live ML forecasting
  • 3 stakeholder groups
Case CFinTech · Full-stack SaaSOne platform, three very different usersdigital

Client of record

Lending platform operator

Findings

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Recommendation

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Disposition

Manual handoffs eliminated, one login for every role

Filed metrics

  • 3 user roles
  • AI/ML pricing engine
  • Azure cloud native
Case DMarketplace · Web & mobileZero to production across web, iOS, and Androiddigital

Client of record

Ticket marketplace operator

Findings

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Recommendation

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Disposition

Live across three platforms in under six months

Filed metrics

  • < 6 mo to launch
  • 3 platforms shipped
  • Live pricing engine

Showing 4 of 7 engagements on file — see the complete case file archive →

05 / 08Record of Prior Engagements

SECTION V

Open Requisitions Register

9 requisitions are open as of filing. To apply, direct correspondence to hr@knackhook.com citing the requisition title in the subject line.

R–100.NET Full-Stack DeveloperHyderabad / RemoteFull-time

Duties

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment

To apply

hr@knackhook.com · +1 (425) 548-6321

R–101Project ManagerBellevue, WAFull-time

Duties

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication

To apply

hr@knackhook.com · +1 (425) 548-6321

R–102Network EngineerHyderabadFull-time

Duties

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred

To apply

hr@knackhook.com · +1 (425) 548-6321

R–103Azure Data EngineerRemoteFull-time

Duties

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals

To apply

hr@knackhook.com · +1 (425) 548-6321

R–104UI/UX DesignerRemoteFull-time

Duties

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool

To apply

hr@knackhook.com · +1 (425) 548-6321

R–105Data AnalystHyderabadFull-time

Duties

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders

To apply

hr@knackhook.com · +1 (425) 548-6321

R–106System Support EngineerBellevue, WAFull-time

Duties

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users

To apply

hr@knackhook.com · +1 (425) 548-6321

R–107Data ScientistRemoteFull-time

Duties

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production

To apply

hr@knackhook.com · +1 (425) 548-6321

R–108SAP SpecialistBellevue, WAFull-time

Duties

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.

To apply

hr@knackhook.com · +1 (425) 548-6321

06 / 08Open Requisitions Register

SECTION VI

Engagement Request

To initiate an engagement, contact either registered office below or complete the request form. All correspondence is acknowledged in the order received.

Registered offices

Office 1 of 2

United States

KnackHook LLC

1420 156th Ave NE Suite F, Bellevue, WA 98007-4421

Email info@knackhook.com

Phone +1 (425) 548-6321

Office 2 of 2

India

KnackHook IT Services Pvt. Ltd.

Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084

Email info@knackhook.com

Phone +91 (868) 862-3071

Note on turnaround

Response time

Requests filed via either channel are typically acknowledged within one business day. For matters requiring immediate discussion, telephone either registered office above and ask for the delivery team.

Form KH–4 — Engagement Request

07 / 08Engagement Request

Technology Delivery Partner · est. 2016

Digital.Data.AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

Start a projectSee our work
Also a Staffing Partner for IT teams that need vetted talent, not a project

Engagement snapshot

25+Projects delivered
< 6 monthsTypical time to launch
98%Client retention
US + IndiaDelivery, one team
Or just email us — info@knackhook.com

Established

01

2016

Illustrative trend

Global partners

02

30+

Illustrative trend

Client retention

03

98%

Illustrative trend

Projects shipped

04

25+

Illustrative trend

Our practices

Three practices, one delivery team — most engagements draw on all three, not just the one in the RFP.

Digital3 capabilities

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

Digital capabilities
No.Capability
01Cloud Infrastructure
02Enterprise ERP
03App Engineering
See full detail →
Data2 capabilities

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

Data capabilities
No.Capability
04Data Intelligence
05Real-Time Telemetry
See full detail →
AI3 capabilities

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

AI capabilities
No.Capability
06AI & Automation
07Responsible AI
08Strategic Consulting
See full detail →

What we do

All 8 capabilities, full detail. Expand a row to see the problem, our approach, and what we build it with.

01Cloud InfrastructureScalable architectureDIGITAL

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

The problem

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Our approach

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

Built with

  • Azure
  • AWS
  • Kubernetes
  • Terraform
02Enterprise ERPSystem integrationDIGITAL

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

The problem

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Our approach

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

Built with

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
03App EngineeringWeb & mobileDIGITAL

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

The problem

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Our approach

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

Built with

  • React
  • Next.js
  • .NET
  • iOS
  • Android
04Data IntelligenceAdvanced analyticsDATA

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

The problem

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Our approach

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

Built with

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
05Real-Time TelemetryStreaming & observabilityDATA

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

The problem

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Our approach

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

Built with

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
06AI & AutomationCognitive computingAI

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

The problem

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Our approach

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

Built with

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
07Responsible AIGovernance & safetyAI

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

The problem

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Our approach

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

Built with

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
08Strategic ConsultingDigital transformationAI

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

The problem

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Our approach

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

Built with

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

Two ways to work with us

Technology Partner or Staffing Partner

Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.

Technology Partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

See delivery case studies

Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

Explore staffing augmentation

Proof, not promises

KnackLabs

How we've approached real engagements — generalized to protect client confidentiality. Problem, approach, and outcome for each.

View all case studies
Public sector · Data & AI01

20 years of venue data, unified overnight

Multi-venue public facilities operator

The problem

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Our approach

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrsdata consolidated
6+venues unified
Days → minreporting cycle
Read the full case study
Transportation · Predictive AI02

Forecasting demand for a regional operator

Regional transportation operator

The problem

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Our approach

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+sources unified
LiveML forecasting
3stakeholder groups
Read the full case study
FinTech · Full-stack SaaS03

One platform, three very different users

Lending platform operator

The problem

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Our approach

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3user roles
AI/MLpricing engine
Azurecloud native
Read the full case study
Marketplace · Web & mobile04

Zero to production across web, iOS, and Android

Ticket marketplace operator

The problem

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Our approach

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 moto launch
3platforms shipped
Livepricing engine
Read the full case study

Showing 4 of 7 engagements, plus our proprietary AI products — see the full KnackLabs archive →

Open roles

9 roles open right now. Email hr@knackhook.com with the role name in the subject line.

.NET Full-Stack DeveloperHyderabad / RemoteFull-timeOpen

.NET Full-Stack Developer

Responsibilities

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment
✉ hr@knackhook.com☎ +1 (425) 548-6321
Project ManagerBellevue, WAFull-timeOpen

Project Manager

Responsibilities

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication
✉ hr@knackhook.com☎ +1 (425) 548-6321
Network EngineerHyderabadFull-timeOpen

Network Engineer

Responsibilities

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred
✉ hr@knackhook.com☎ +1 (425) 548-6321
Azure Data EngineerRemoteFull-timeOpen

Azure Data Engineer

Responsibilities

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals
✉ hr@knackhook.com☎ +1 (425) 548-6321
UI/UX DesignerRemoteFull-timeOpen

UI/UX Designer

Responsibilities

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data AnalystHyderabadFull-timeOpen

Data Analyst

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders
✉ hr@knackhook.com☎ +1 (425) 548-6321
System Support EngineerBellevue, WAFull-timeOpen

System Support Engineer

Responsibilities

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data ScientistRemoteFull-timeOpen

Data Scientist

Responsibilities

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production
✉ hr@knackhook.com☎ +1 (425) 548-6321
SAP SpecialistBellevue, WAFull-timeOpen

SAP Specialist

Responsibilities

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.
✉ hr@knackhook.com☎ +1 (425) 548-6321

Get in touch

US and India offices, one delivery team. Send us a note below and we'll get back to you.

United States

KnackHook LLC

addr
1420 156th Ave NE Suite F, Bellevue, WA 98007-4421
India

KnackHook IT Services Pvt. Ltd.

addr
Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084
Response time

We usually reply within 1 business day

Email is fastest for new project inquiries — the form on the right goes straight to our inbox.

Prefer to talk it through first? Call either office above and ask for the delivery team.

Start a project

Submitted here goes straight to our inbox — no email client required.

KnackHookDigitalDataAIStart a project

Technology Delivery Partner · est. 2016

Digital.Data.AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

Start a projectView capabilities
Also a Staffing Partner for IT teams that need vetted talent, not a project
2016
Established
30+
Global partners
98%
Client retention
25+
Projects shipped

How we're organized

Three practices. One tagline that's actually the sitemap.

Digital, Data, and AI aren't a slogan here — they're the three top-level practices behind everything below. Each one owns a set of capabilities you can read in full before you ever talk to a salesperson.

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

  • Cloud InfrastructureScalable architecture
  • Enterprise ERPSystem integration
  • App EngineeringWeb & mobile

Capability statement · web edition

Capabilities

Every entry states the problem we're solving, how we approach it, and what it's built on — the same content as our capability statement PDF, structured and current.

01Cloud InfrastructureScalable architectureDigital

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

Problem

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Approach

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

  • Azure
  • AWS
  • Kubernetes
  • Terraform
02Enterprise ERPSystem integrationDigital

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

Problem

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Approach

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
03App EngineeringWeb & mobileDigital

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

Problem

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Approach

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

  • React
  • Next.js
  • .NET
  • iOS
  • Android
04Data IntelligenceAdvanced analyticsData

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

Problem

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Approach

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
05Real-Time TelemetryStreaming & observabilityData

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

Problem

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Approach

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
06AI & AutomationCognitive computingAI

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

Problem

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Approach

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
07Responsible AIGovernance & safetyAI

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

Problem

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Approach

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
08Strategic ConsultingDigital transformationAI

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

Problem

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Approach

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

Two ways to work with us

Technology Partner or Staffing Partner

Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.

Technology Partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

See delivery case studies →
Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, direct hire, or project teams — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

Explore staffing augmentation →

Proof, not promises

KnackLabs

How we've approached real engagements — generalized to protect client confidentiality. Problem, approach, and outcome for each.

View all case studies →
Public sector · Data & AIData

20 years of venue data, unified overnight

Multi-venue public facilities operator

Problem

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Approach

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrsdata consolidated
6+venues unified
Days → minreporting cycle
Transportation · Predictive AIAI

Forecasting demand for a regional operator

Regional transportation operator

Problem

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Approach

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+sources unified
LiveML forecasting
3stakeholder groups
FinTech · Full-stack SaaSDigital

One platform, three very different users

Lending platform operator

Problem

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Approach

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3user roles
AI/MLpricing engine
Azurecloud native
Marketplace · Web & mobileDigital

Zero to production across web, iOS, and Android

Ticket marketplace operator

Problem

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Approach

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 moto launch
3platforms shipped
Livepricing engine

Showing 4 of 7 total engagements, plus our proprietary AI products — see the full KnackLabs archive →

Join our team

Open roles

KnackHook has been helmed by a cadre of IT experts since 2016. Reach out at hr@knackhook.com with the role in the subject line.

01

.NET Full-Stack Developer

Hyderabad / Remote · Full-time

Responsibilities

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment
Apply →
02

Project Manager

Bellevue, WA · Full-time

Responsibilities

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication
Apply →
03

Network Engineer

Hyderabad · Full-time

Responsibilities

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred
Apply →
04

Azure Data Engineer

Remote · Full-time

Responsibilities

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals
Apply →
05

UI/UX Designer

Remote · Full-time

Responsibilities

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool
Apply →
06

Data Analyst

Hyderabad · Full-time

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders
Apply →
07

System Support Engineer

Bellevue, WA · Full-time

Responsibilities

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users
Apply →
08

Data Scientist

Remote · Full-time

Responsibilities

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production
Apply →
09

SAP Specialist

Bellevue, WA · Full-time

Responsibilities

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.
Apply →

Let's talk

Ready to scale?

Let's build something extraordinary together.

United States

KnackHook LLC

1420 156th Ave NE Suite F, Bellevue, WA 98007-4421

info@knackhook.com

+1 (425) 548-6321

India

KnackHook IT Services Pvt. Ltd.

Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084

info@knackhook.com

+91 (868) 862-3071

Response time

We usually reply within 1 business day

Email is fastest — the form on the right goes straight to our inbox. Prefer to talk it through? Call either office above.

Technology Delivery Partner · est. 2016

Digital.Data.AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

Start a projectSee our work
Also a Staffing Partner for IT teams that need vetted talent, not a project
FIG.01

2016

Established

FIG.02

30+

Global partners

FIG.03

98%

Client retention

FIG.04

25+

Projects shipped

SHEET 01 — PRACTICES

Our practices

Three practices, one delivery team — most engagements draw on all three, not just the one in the RFP.

DigitalSHT.01

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

Digital capabilities
No.Capability
01Cloud Infrastructure
02Enterprise ERP
03App Engineering
See full detail →
DataSHT.02

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

Data capabilities
No.Capability
04Data Intelligence
05Real-Time Telemetry
See full detail →
AISHT.03

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

AI capabilities
No.Capability
06AI & Automation
07Responsible AI
08Strategic Consulting
See full detail →

SHEET 02 — SPECIFICATION

What we do

All 8 capabilities, full detail. Expand a row to see the problem, our approach, and what we build it with.

01Cloud InfrastructureScalable architectureDIGITAL

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

The problem

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Our approach

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

Built with

  • Azure
  • AWS
  • Kubernetes
  • Terraform
02Enterprise ERPSystem integrationDIGITAL

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

The problem

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Our approach

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

Built with

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
03App EngineeringWeb & mobileDIGITAL

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

The problem

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Our approach

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

Built with

  • React
  • Next.js
  • .NET
  • iOS
  • Android
04Data IntelligenceAdvanced analyticsDATA

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

The problem

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Our approach

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

Built with

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
05Real-Time TelemetryStreaming & observabilityDATA

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

The problem

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Our approach

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

Built with

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
06AI & AutomationCognitive computingAI

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

The problem

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Our approach

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

Built with

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
07Responsible AIGovernance & safetyAI

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

The problem

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Our approach

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

Built with

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
08Strategic ConsultingDigital transformationAI

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

The problem

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Our approach

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

Built with

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

SHEET 03 — ENGAGEMENT MODELS

Technology Partner or Staffing Partner

Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.

Technology Partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

See delivery case studies

Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

Explore staffing augmentation

SHEET 04 — AS-BUILT RECORD

KnackLabs

How we've approached real engagements — generalized to protect client confidentiality. Problem, approach, and outcome for each.

View all case studies
Public sector · Data & AIFIG.01

20 years of venue data, unified overnight

Multi-venue public facilities operator

The problem

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Our approach

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrsdata consolidated
6+venues unified
Days → minreporting cycle
Read the full case study
Transportation · Predictive AIFIG.02

Forecasting demand for a regional operator

Regional transportation operator

The problem

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Our approach

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+sources unified
LiveML forecasting
3stakeholder groups
Read the full case study
FinTech · Full-stack SaaSFIG.03

One platform, three very different users

Lending platform operator

The problem

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Our approach

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3user roles
AI/MLpricing engine
Azurecloud native
Read the full case study
Marketplace · Web & mobileFIG.04

Zero to production across web, iOS, and Android

Ticket marketplace operator

The problem

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Our approach

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 moto launch
3platforms shipped
Livepricing engine
Read the full case study

Showing 4 of 7 engagements, plus our proprietary AI products — see the full KnackLabs archive →

SHEET 05 — OPEN REQUISITIONS

Open roles

9 roles open right now. Email hr@knackhook.com with the role name in the subject line.

.NET Full-Stack DeveloperHyderabad / RemoteFull-timeOpen

.NET Full-Stack Developer

Responsibilities

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment
✉ hr@knackhook.com☎ +1 (425) 548-6321
Project ManagerBellevue, WAFull-timeOpen

Project Manager

Responsibilities

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication
✉ hr@knackhook.com☎ +1 (425) 548-6321
Network EngineerHyderabadFull-timeOpen

Network Engineer

Responsibilities

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred
✉ hr@knackhook.com☎ +1 (425) 548-6321
Azure Data EngineerRemoteFull-timeOpen

Azure Data Engineer

Responsibilities

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals
✉ hr@knackhook.com☎ +1 (425) 548-6321
UI/UX DesignerRemoteFull-timeOpen

UI/UX Designer

Responsibilities

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data AnalystHyderabadFull-timeOpen

Data Analyst

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders
✉ hr@knackhook.com☎ +1 (425) 548-6321
System Support EngineerBellevue, WAFull-timeOpen

System Support Engineer

Responsibilities

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data ScientistRemoteFull-timeOpen

Data Scientist

Responsibilities

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production
✉ hr@knackhook.com☎ +1 (425) 548-6321
SAP SpecialistBellevue, WAFull-timeOpen

SAP Specialist

Responsibilities

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.
✉ hr@knackhook.com☎ +1 (425) 548-6321

SHEET 06 — ENGAGEMENT REQUEST

Get in touch

US and India offices, one delivery team. Send us a note below and we'll get back to you.

United States

KnackHook LLC

addr
1420 156th Ave NE Suite F, Bellevue, WA 98007-4421
India

KnackHook IT Services Pvt. Ltd.

addr
Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084
Response time

We usually reply within 1 business day

Email is fastest for new project inquiries — the form on the right goes straight to our inbox.

Prefer to talk it through first? Call either office above and ask for the delivery team.

Start a project

Submitted here goes straight to our inbox — no email client required.

Technology Delivery Partner · broadcasting since 2016

Digital.Data.AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

Start a projectSee our work
Also a Staffing Partner for IT teams that need vetted talent, not a project

Console readout

25+Projects delivered
< 6 monthsTypical time to launch
98%Client retention
US + IndiaDelivery, one team
Or just email us — info@knackhook.com

Established

CH.01

2016

Illustrative signal

Global partners

CH.02

30+

Illustrative signal

Client retention

CH.03

98%

Illustrative signal

Projects shipped

CH.04

25+

Illustrative signal

Frequency guide

Our practices

Three practices, one delivery team — most engagements draw on all three, not just the one in the RFP.

88.1 FMDigital3 capabilities

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

Digital capabilities
No.Capability
01Cloud Infrastructure
02Enterprise ERP
03App Engineering
See full detail →
94.5 FMData2 capabilities

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

Data capabilities
No.Capability
04Data Intelligence
05Real-Time Telemetry
See full detail →
101.7 FMAI3 capabilities

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

AI capabilities
No.Capability
06AI & Automation
07Responsible AI
08Strategic Consulting
See full detail →

Program log

What we do

All 8 capabilities, full detail. Expand a row to see the problem, our approach, and what we build it with.

01Cloud InfrastructureScalable architectureDIGITAL

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

The problem

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Our approach

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

Built with

  • Azure
  • AWS
  • Kubernetes
  • Terraform
02Enterprise ERPSystem integrationDIGITAL

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

The problem

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Our approach

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

Built with

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
03App EngineeringWeb & mobileDIGITAL

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

The problem

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Our approach

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

Built with

  • React
  • Next.js
  • .NET
  • iOS
  • Android
04Data IntelligenceAdvanced analyticsDATA

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

The problem

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Our approach

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

Built with

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
05Real-Time TelemetryStreaming & observabilityDATA

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

The problem

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Our approach

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

Built with

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
06AI & AutomationCognitive computingAI

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

The problem

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Our approach

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

Built with

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
07Responsible AIGovernance & safetyAI

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

The problem

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Our approach

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

Built with

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
08Strategic ConsultingDigital transformationAI

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

The problem

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Our approach

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

Built with

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

Two ways to work with us

Technology Partner or Staffing Partner

Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.

Technology Partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

See delivery case studies

Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

Explore staffing augmentation

Proof, not promises

KnackLabs

How we've approached real engagements — generalized to protect client confidentiality. Problem, approach, and outcome for each.

View all case studies
Public sector · Data & AI01

20 years of venue data, unified overnight

Multi-venue public facilities operator

The problem

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Our approach

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrsdata consolidated
6+venues unified
Days → minreporting cycle
Read the full case study
Transportation · Predictive AI02

Forecasting demand for a regional operator

Regional transportation operator

The problem

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Our approach

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+sources unified
LiveML forecasting
3stakeholder groups
Read the full case study
FinTech · Full-stack SaaS03

One platform, three very different users

Lending platform operator

The problem

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Our approach

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3user roles
AI/MLpricing engine
Azurecloud native
Read the full case study
Marketplace · Web & mobile04

Zero to production across web, iOS, and Android

Ticket marketplace operator

The problem

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Our approach

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 moto launch
3platforms shipped
Livepricing engine
Read the full case study

Showing 4 of 7 engagements, plus our proprietary AI products — see the full KnackLabs archive →

Now casting

Open roles

9 roles open right now. Email hr@knackhook.com with the role name in the subject line.

.NET Full-Stack DeveloperHyderabad / RemoteFull-timeOpen

.NET Full-Stack Developer

Responsibilities

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment
✉ hr@knackhook.com☎ +1 (425) 548-6321
Project ManagerBellevue, WAFull-timeOpen

Project Manager

Responsibilities

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication
✉ hr@knackhook.com☎ +1 (425) 548-6321
Network EngineerHyderabadFull-timeOpen

Network Engineer

Responsibilities

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred
✉ hr@knackhook.com☎ +1 (425) 548-6321
Azure Data EngineerRemoteFull-timeOpen

Azure Data Engineer

Responsibilities

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals
✉ hr@knackhook.com☎ +1 (425) 548-6321
UI/UX DesignerRemoteFull-timeOpen

UI/UX Designer

Responsibilities

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data AnalystHyderabadFull-timeOpen

Data Analyst

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders
✉ hr@knackhook.com☎ +1 (425) 548-6321
System Support EngineerBellevue, WAFull-timeOpen

System Support Engineer

Responsibilities

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data ScientistRemoteFull-timeOpen

Data Scientist

Responsibilities

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production
✉ hr@knackhook.com☎ +1 (425) 548-6321
SAP SpecialistBellevue, WAFull-timeOpen

SAP Specialist

Responsibilities

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.
✉ hr@knackhook.com☎ +1 (425) 548-6321

Open channel

Get in touch

US and India offices, one delivery team. Send us a note below and we'll get back to you.

United States

KnackHook LLC

addr
1420 156th Ave NE Suite F, Bellevue, WA 98007-4421
India

KnackHook IT Services Pvt. Ltd.

addr
Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084
Response time

We usually reply within 1 business day

Email is fastest for new project inquiries — the form on the right goes straight to our inbox.

Prefer to talk it through first? Call either office above and ask for the delivery team.

Start a project

Submitted here goes straight to our inbox — no email client required.

Technology Delivery Partner · est. 2016

Digital.Data.AI.

We build the platforms, pipelines, and AI systems that run your business — end to end, in weeks, not roadmaps.

Start a projectSee our work
Also a Staffing Partner for IT teams that need vetted talent, not a project

Engagement, at a glance

25+Projects delivered
< 6 monthsTypical time to launch
98%Client retention
US + IndiaDelivery, one team
sealed & deliveredOr just email us — info@knackhook.com

Established

No. 01

2016

Illustrative trend

Global partners

No. 02

30+

Illustrative trend

Client retention

No. 03

98%

Illustrative trend

Projects shipped

No. 04

25+

Illustrative trend

Plate I

Our practices

Three practices, one delivery team — most engagements draw on all three, not just the one in the RFP.

Digital3 capabilities

Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.

Digital capabilities
No.Capability
01Cloud Infrastructure
02Enterprise ERP
03App Engineering
See full detail →
Data2 capabilities

Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.

Data capabilities
No.Capability
04Data Intelligence
05Real-Time Telemetry
See full detail →
AI3 capabilities

Applied machine learning and agentic systems, built with safety and governance as first-class requirements.

AI capabilities
No.Capability
06AI & Automation
07Responsible AI
08Strategic Consulting
See full detail →

Plate II

What we do

All 8 capabilities, full detail. Expand a row to see the problem, our approach, and what we build it with.

01Cloud InfrastructureScalable architectureDIGITAL

Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.

The problem

Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.

Our approach

We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.

Built with

  • Azure
  • AWS
  • Kubernetes
  • Terraform
02Enterprise ERPSystem integrationDIGITAL

Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.

The problem

Most ERP rollouts fail on integration, not on the core software — data doesn't reconcile across systems and reporting lags reality by weeks.

Our approach

We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.

Built with

  • SAP
  • Microsoft Dynamics
  • REST/OData
  • Azure Data Factory
03App EngineeringWeb & mobileDIGITAL

Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.

The problem

Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.

Our approach

We build on typed, documented foundations — component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.

Built with

  • React
  • Next.js
  • .NET
  • iOS
  • Android
04Data IntelligenceAdvanced analyticsDATA

Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.

The problem

Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.

Our approach

We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.

Built with

  • Microsoft Fabric
  • Power BI
  • Azure Data Factory
  • dbt
05Real-Time TelemetryStreaming & observabilityDATA

Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.

The problem

Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.

Our approach

We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.

Built with

  • Kafka
  • ClickHouse
  • Grafana
  • OpenTelemetry
06AI & AutomationCognitive computingAI

Applied machine learning and agentic systems — from predictive models to multi-agent task orchestration — built on your own data.

The problem

Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.

Our approach

We start from the workflow you want to change, not the model — then build, evaluate, and productionize against that outcome.

Built with

  • PyTorch
  • Azure OpenAI
  • LangChain
  • Vector DB
07Responsible AIGovernance & safetyAI

Safety and compliance layers for AI systems — bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.

The problem

AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.

Our approach

We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.

Built with

  • Bias Detection
  • PII Redaction
  • Audit Logging
  • GDPR
08Strategic ConsultingDigital transformationAI

Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.

The problem

Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.

Our approach

The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.

Built with

  • Roadmapping
  • Vendor Evaluation
  • Architecture Review

Plate III

Technology Partner or Staffing Partner

Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.

Technology Partner

We build and own delivery

You bring the outcome, we bring the team, architecture, and accountability — from the practices and capabilities above, delivered as a complete engagement.

See delivery case studies

Staffing Partner

We place vetted IT talent on your team

Contract, contract-to-hire, or dedicated pods — engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.

Explore staffing augmentation

Plate IV

KnackLabs

How we've approached real engagements — generalized to protect client confidentiality. Problem, approach, and outcome for each.

View all case studies
Public sector · Data & AIPlate 01

20 years of venue data, unified overnight

Multi-venue public facilities operator

The problem

Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance — every report was assembled by hand.

Our approach

Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.

Reporting time cut from days to minutes

20+ yrsdata consolidated
6+venues unified
Days → minreporting cycle
Read the full case study
Transportation · Predictive AIPlate 02

Forecasting demand for a regional operator

Regional transportation operator

The problem

Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.

Our approach

Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.

Reactive reporting replaced with live forecasting

5+sources unified
LiveML forecasting
3stakeholder groups
Read the full case study
FinTech · Full-stack SaaSPlate 03

One platform, three very different users

Lending platform operator

The problem

Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.

Our approach

Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations — built on React, Node.js, Python, and Azure.

Manual handoffs eliminated, one login for every role

3user roles
AI/MLpricing engine
Azurecloud native
Read the full case study
Marketplace · Web & mobilePlate 04

Zero to production across web, iOS, and Android

Ticket marketplace operator

The problem

No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability — and no way to track inventory across events and channels in one place.

Our approach

Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.

Live across three platforms in under six months

< 6 moto launch
3platforms shipped
Livepricing engine
Read the full case study

Showing 4 of 7 engagements, plus our proprietary AI products — see the full KnackLabs archive →

Plate V

Open roles

9 roles open right now. Email hr@knackhook.com with the role name in the subject line.

.NET Full-Stack DeveloperHyderabad / RemoteFull-timeOpen

.NET Full-Stack Developer

Responsibilities

  • Design and build features across the .NET/C# backend and React frontend
  • Write and maintain automated tests as part of every change
  • Collaborate with PMs and designers on scoping and estimation

Qualifications

  • 3+ years building production .NET applications
  • Working knowledge of React or an equivalent modern frontend framework
  • Comfortable owning a feature from design through deployment
✉ hr@knackhook.com☎ +1 (425) 548-6321
Project ManagerBellevue, WAFull-timeOpen

Project Manager

Responsibilities

  • Run sprint planning, standups, and client status updates
  • Track scope, risk, and timeline across 2-4 concurrent projects
  • Coordinate between engineering, design, and the client stakeholder

Qualifications

  • 3+ years managing software delivery projects
  • Comfortable running both agile and fixed-scope engagements
  • Strong written and verbal client communication
✉ hr@knackhook.com☎ +1 (425) 548-6321
Network EngineerHyderabadFull-timeOpen

Network Engineer

Responsibilities

  • Configure and maintain routers, switches, firewalls, and VPNs
  • Monitor network performance and respond to incidents
  • Document network topology and change history

Qualifications

  • 3+ years in network engineering or administration
  • Hands-on experience with enterprise routing/switching and firewalls
  • CCNA or equivalent certification preferred
✉ hr@knackhook.com☎ +1 (425) 548-6321
Azure Data EngineerRemoteFull-timeOpen

Azure Data Engineer

Responsibilities

  • Build and maintain ETL/ELT pipelines into a governed lakehouse
  • Model data for reporting and analytics consumption
  • Partner with analysts and BI developers on data quality

Qualifications

  • 3+ years building data pipelines on Azure
  • Experience with Microsoft Fabric, Data Factory, or equivalent tooling
  • Solid SQL and data modeling fundamentals
✉ hr@knackhook.com☎ +1 (425) 548-6321
UI/UX DesignerRemoteFull-timeOpen

UI/UX Designer

Responsibilities

  • Turn requirements into wireframes, prototypes, and high-fidelity UI
  • Maintain and extend shared design systems across projects
  • Partner with engineering to make sure designs ship as intended

Qualifications

  • 3+ years designing production web or mobile interfaces
  • Strong portfolio showing end-to-end design process
  • Fluent in Figma or an equivalent design tool
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data AnalystHyderabadFull-timeOpen

Data Analyst

Responsibilities

  • Build and maintain Power BI dashboards and reports
  • Analyze datasets to answer specific business questions
  • Work with data engineers to fix upstream data quality issues

Qualifications

  • 2+ years in a data analyst or BI role
  • Strong SQL and Power BI (or equivalent BI tool) skills
  • Able to explain findings clearly to non-technical stakeholders
✉ hr@knackhook.com☎ +1 (425) 548-6321
System Support EngineerBellevue, WAFull-timeOpen

System Support Engineer

Responsibilities

  • Triage and resolve incoming support tickets
  • Maintain documentation for common issues and fixes
  • Escalate and coordinate on issues that need engineering involvement

Qualifications

  • 2+ years in a systems support or IT support role
  • Comfortable working across Windows and Linux environments
  • Clear, patient communication with non-technical users
✉ hr@knackhook.com☎ +1 (425) 548-6321
Data ScientistRemoteFull-timeOpen

Data Scientist

Responsibilities

  • Develop and validate ML models against real business outcomes
  • Work with data engineers to productionize models beyond notebooks
  • Communicate model behavior and limitations to non-technical stakeholders

Qualifications

  • 3+ years applying ML to real business problems
  • Proficiency in Python and a modern ML stack (PyTorch or equivalent)
  • Experience taking a model from prototype to production
✉ hr@knackhook.com☎ +1 (425) 548-6321
SAP SpecialistBellevue, WAFull-timeOpen

SAP Specialist

Responsibilities

  • Analyze business requirements and translate them into SAP solutions.
  • Configure SAP modules to meet business needs.
  • Provide end-user support and training.
  • Troubleshoot and resolve SAP system issues.

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
  • Strong understanding of business processes.
  • Excellent problem-solving and analytical skills.
✉ hr@knackhook.com☎ +1 (425) 548-6321

Plate VI

Get in touch

US and India offices, one delivery team. Send us a note below and we'll get back to you.

United States

KnackHook LLC

addr
1420 156th Ave NE Suite F, Bellevue, WA 98007-4421
India

KnackHook IT Services Pvt. Ltd.

addr
Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084
Response time

We usually reply within 1 business day

Email is fastest for new project inquiries — the form on the right goes straight to our inbox.

Prefer to talk it through first? Call either office above and ask for the delivery team.

Start a projectwrite below ↓