Scavenger Tech

About the role
You’ll design and maintain automation frameworks and integrate quality validation into CI/CD pipelines, while owning performance engineering and NFR compliance (scalability, reliability, response time). You play a key role in release governance by identifying performance bottlenecks and automation gaps before production.

What you’ll do

• Build reusable automation frameworks; UI + API automated scripts; maintain regression automation suite; reduce flaky tests; publish coverage/execution reports 
• Integrate automated tests into Azure DevOps pipelines; enforce quality gates; PR/merge triggers; block faulty builds; collaborate with DevSecOps on validation standards 
• Design and execute load/stress/spike/endurance tests; validate scalability under concurrency; measure latency/throughput/resource usage 
• Identify bottlenecks (app/db/api/infra); analyze SQL query plans; evaluate API latency; propose tuning recommendations with dev/architects 
• Validate NFR compliance and performance thresholds; participate in Go/No-Go; escalate risks when thresholds fail 
• Manage test data and repeatable environments; support Docker/containerized testing environments 

Must-have

• 5+ years automation and/or performance testing; CI/CD experience; Azure enterprise environment exposure; performance diagnostics/monitoring 
• Automation: Selenium/Playwright/Cypress; API automation; scripting (C# or JavaScript); POM/modular framework design 
• CI/CD: Azure DevOps pipelines, build validation triggers, quality gate configuration, pipeline debugging/optimization 
• Performance: JMeter/k6, latency/throughput analysis, capacity modeling; monitoring (Azure Monitor/App Insights/log analysis) 
• SQL performance analysis + execution plan review 

Authority / constraints

• Owns automation framework standards and coverage expectations; can escalate performance risks; must collaborate for structural redesign; cannot change scope or bypass functional QA 

Nice-to-have certs

• ISTQB Test Automation Engineer; AZ-204 / AZ-400 / AZ-104 / AZ-305 recommended options; advanced performance testing training

About the role
You’ll validate functional quality and ensure requirements are met before staging/production release, enforcing structured test processes, traceability (RTM), and disciplined validation cycles. You have authority to block releases when acceptance criteria are not met.

What you’ll do

• Review requirements/user stories/acceptance criteria; design test cases (positive/negative/boundary/edge); maintain ADO Test Plans + RTM 
• Execute functional/regression/integration cycles; validate acceptance criteria; exploratory + smoke testing before release 
• Log reproducible defects with evidence; track lifecycle; verify fixes; analyze root-cause trends 
• Maintain/expand regression suite based on defect trends; revalidate impacted modules during updates 
• API testing (Postman) + validate request/response/error handling; basic SQL queries for backend data validation 
• Validate basic OWASP scenarios and access-control testing; support pre-prod validation checks 
• Participate in Go/No-Go; provide formal QA sign-off; block release for critical/high-severity defects 

Must-have

• 5+ years QA/testing; enterprise applications; Agile/Scrum; structured test management tools 
• Test case design/execution, regression management, acceptance criteria validation, RTM discipline 
• API testing (Postman) + basic SQL (SELECT/JOIN/filters) + data validation techniques 
• ADO/TFS/Jira defect lifecycle; severity/priority classification; trend analysis 
• Awareness: SDLC stages, ADO Test Plans, basic OWASP Top 10, basic CI/CD understanding 

Authority / constraints

• Can block releases; can reject unclear requirements for testing; cannot change scope/logic or override architecture/security standards 

Nice-to-have certs

• ISTQB Foundation; AZ-900 recommended; OWASP awareness training

About the role
You’ll build enterprise dashboards, reporting systems, and automation workflows, ensuring KPI standardization, reporting accuracy, and data governance compliance while improving operational efficiency through structured automation.

What you’ll do

• Build Power BI dashboards aligned to business KPIs; advanced DAX measures; standardized templates; performance optimization 
• Design data models and ETL pipelines; validate data quality; maintain dimensional modeling standards; optimize SQL performance 
• Own KPI governance: formal KPI definitions/formulas, centralized KPI dictionary, prevent conflicting metrics 
• Build Power Automate workflows (approvals/notifications/triggers) with reliability + exception handling; API-based automation integration 
• Enforce data governance/security: RBAC + Power BI row-level security; compliance with access policies 
• Validate outputs vs source systems; reconciliation checks; audit trails; RCA for discrepancies 

Must-have

• 5+ years BI/data analytics; enterprise reporting; strong relational DB background; Agile experience 
• Power BI (advanced DAX), data modeling (star/snowflake), report optimization 
• SQL Server (advanced queries, stored procedures, indexing) 
• ETL: SSIS or Azure Data Factory preferred; data warehouse concepts 
• Power Automate (cloud/desktop flows), REST/JSON integrations, orchestration logic 
• Azure data services (Azure SQL, ADF, Synapse) + governance (RBAC/RLS, privacy/compliance) 

Authority / constraints

• Owns KPI modeling and automation framework principles; cannot redefine KPIs without PO/business alignment; cannot bypass governance/access policy 

Certs

• PL-300 mandatory; DP-203 recommended

About the role
You’ll validate AI-driven systems (ML models, LLM solutions, and Agentic AI workflows) to ensure outputs are accurate, reliable, secure, and compliant with governance standards. Focus areas include model behavior, prompt reliability, automation flows, and enterprise integration testing.

What you’ll do

• Test ML models using metrics (accuracy, precision, recall, F1) and adversarial/edge-case testing 
• Validate LLM outputs for correctness, relevance, and hallucination control 
• Run prompt-variant testing for response consistency; detect bias/incorrect reasoning; enforce business rules 
• Test multi-agent workflows, orchestration, decision logic, fallback handling, automation scenarios 
• Perform end-to-end scenario testing across APIs/services; validate real-time inference pipelines 
• Governance/compliance testing: RBAC/data access controls, sensitive data handling, auditability/traceability 
• Performance/reliability: load/latency/scalability testing; monitor drift/degradation over time 

Must-have

• 5+ years QA/testing with exposure to AI systems; experience testing ML models, APIs, enterprise apps 
• LLM evaluation techniques (hallucination detection, prompt testing) + dataset validation/test data generation 
• Automation tools: Selenium/Cypress/Playwright; API testing (Postman/REST Assured) 
• Automation scripting (Python or JavaScript); basic Python for AI pipeline testing 
• Azure environment awareness; CI/CD pipelines (Azure DevOps); logging/monitoring awareness 
• Familiarity with embeddings/vector DBs and ML/LLM workflow concepts 

Authority / constraints

• Owns AI testing standards/metrics and acceptance criteria; cannot approve release without quality thresholds 

Nice-to-have certs

• ISTQB Advanced Test Analyst preferred; AI-900 recommended

About the role
We’re hiring a Senior AI Engineer to design, develop, and deploy enterprise AI solutions including Agentic AI, intelligent automation, and predictive analytics, aligned with governance/security frameworks and business objectives.

What you’ll do

• Build AI/ML models (classification, prediction, NLP, computer vision) and optimize for performance/cost 
• Build LLM-based solutions (chatbots, copilots, automation agents) 
• Design and implement multi-agent architectures, orchestration logic, decision flows, and human-in-the-loop controls 
• Own data prep, feature engineering pipelines, training/fine-tuning/evaluation, and model lifecycle/versioning 
• Integrate AI into enterprise systems via APIs/microservices, including real-time inference services 
• Implement responsible AI practices (bias control, explainability, auditability) and secure AI pipelines/APIs (auth/authz) 
• Monitor production performance, logging/alerting, drift, and optimize latency/scalability 

Must-have

• 5+ years AI/ML engineering; production deployments; enterprise-scale AI systems/APIs 
• Hands-on LLMs/NLP or Computer Vision 
• Strong Python ML stack (TensorFlow/PyTorch/Scikit-learn) 
• LLM ecosystem experience (Azure OpenAI / OpenAI / Gemini / HuggingFace), embeddings/vector DBs 
• Agentic/orchestration frameworks (LangChain / Semantic Kernel / AutoGen; multi-agent frameworks; tool use) 
• Azure AI Services/Azure ML/Databricks + Docker/Kubernetes; REST/microservices, event-driven, APIM 

Authority / constraints

• Owns AI architecture/model development standards and Agentic AI implementation approaches 
• Cannot deploy without security/governance approval; cannot use external AI services without compliance validation 

Nice-to-have certs

• AI-102 preferred; DP-100 recommended

Executive Summary

You will design, develop, and maintain backend and system-level components aligned with approved enterprise architecture, security standards, and governance frameworks. You’ll deliver features that meet functional and non-functional requirements, follow secure coding practices, and integrate cleanly across our ecosystem: Azure, APIs, databases, and CI/CD pipelines.

You will operate within defined architectural boundaries and collaborate with Architects, Product Owners, QA, DevSecOps, and business stakeholders to ship high-quality, scalable, secure solutions.  You must have a secure-by-design mindset (OWASP Top 10, RBAC, identity integration) for this role.

Role Purpose

Design, build, and maintain backend/system-level components aligned with architectural standards.

About the project 

We’re taking ownership of a large, mission-critical enterprise platform currently operated by an external vendor. The system is live and security-sensitive, and we’re modernizing it over time:

• Primary backend stack: C# / .NET (6+), with most new work on .NET 8 (LTS)
• Legacy areas exist: ASP.NET Framework 4.8 and some WCF
• Cloud: Microsoft Azure
• Data: SQL Server primarily, some MySQL
• Frontend exists (React/Angular), but this role is backend/system-level

• Documentation is mixed due to the transition; part of the work is improving clarity as you go.

   

Core Responsibilities

1) Software Development & Implementation

• Develop backend services, APIs, and system components based on approved backlog items and technical designs.
• Translate user stories and functional requirements into scalable solutions.
• Implement business logic following clean architecture and principles.
• Follow coding standards, architectural guidelines, and agreed design patterns.

2) Code Quality & Maintainability

• Write clean, maintainable, testable, well-documented code.
• Perform peer reviews and address review feedback.
• Refactor legacy code where needed to improve performance and maintainability.
• Maintain strong version control discipline: branching strategy, pull requests, merges.

3) Testing & Quality Assurance

• Develop and maintain unit tests using approved frameworks (xUnit / NUnit / MSTest).
• Use mocking frameworks appropriately (e.g., Moq/NSubstitute equivalents).
• Participate in integration testing and support QA during testing cycles.
• Meet quality gates (coverage/standards) before release.
• Support debugging, root-cause analysis, and defect resolution.

4) Security & Compliance

• Apply secure coding practices aligned with OWASP Top 10.
• Identify and mitigate vulnerabilities; follow DevSecOps quality controls.
• Correctly handle authentication, authorization, encryption, and data protection.
• Implement RBAC and identity-based access patterns (JWT/OAuth2; Entra ID integration where applicable).
• Comply with mandatory SAST scanning gates prior to release.

5) Performance & Reliability

• Optimize database queries and system performance (SQL Server/MySQL).
• Build scalable, resilient services and APIs.
• Implement logging/monitoring/exception handling best practices (e.g., Application Insights, Serilog).
• Use performance profiling techniques when needed to diagnose bottlenecks.

6) DevOps & Deployment Support

• Support CI/CD pipeline integration and delivery workflows (Azure DevOps).
• Assist in staging and production deployments under governance checkpoints.
• Participate in troubleshooting production incidents when required.

7) Cross-Functional Collaboration

• Work closely with Solution Architects, Product Owners, QA, DevSecOps, and UI/UX teams.
• Escalate technical risks and architectural concerns early and clearly.

Authority

• Own implementation decisions within approved architectural boundaries.
• Cannot redefine scope or bypass architecture/security standards.
• Must escalate technical risks, architectural concerns, or scope-impacting issues to the Architect and Product Owner.
• Cannot approve production deployment outside defined governance checkpoints.

Required Qualifications

Education

• Bachelor’s degree in Computer Science / Software Engineering / Information Systems (or similar).
• Master’s degree is a plus.

Experience

• 5+ years backend development experience.
• Proven experience delivering enterprise-grade applications.
• Experience working in Agile/Scrum environments.
• Experience with production-grade Azure-hosted applications.

Required Technical Stack

Core Technologies

• C# / .NET Core / .NET 6+ (most new work on .NET 8 LTS)
• ASP.NET Core Web API
• Entity Framework and/or other ORM tools
• SQL Server (advanced querying and performance tuning mindset)

API & Integration

• RESTful APIs
• Data exchange: JSON / XML
• API auth: JWT, OAuth2, identity integration (Entra ID)

Cloud & DevOps

• Microsoft Azure (App Services, Storage, Functions)
• Azure DevOps (CI/CD pipelines)
• Git

Security

• OWASP Top 10 awareness
• Secure coding best practices
• RBAC implementation patterns

Testing

• xUnit / NUnit / MSTest
• Mocking frameworks
• Unit + integration testing practices

Technical Awareness

• Microservices architecture basics
• Logging/monitoring tools (Application Insights, Serilog, etc.)
• Docker basics (preferred)
• CI/CD best practices
• Performance profiling techniques

Core Competencies

Technical

• Strong problem solving and analytical skills
• Code optimization and debugging expertise
• Understanding of system design principles
• Secure development mindset

Behavioral

• Accountability and ownership
• Structured thinking
• Attention to detail
• Ability to work under pressure
• Clear communication with technical and non-technical stakeholders
• Continuous learning mindset

Maturity / Level Expectations

• Lead technical modules and drive them to completion.
• Mentor less experienced engineers when needed.
• Participate in design discussions and contribute improvements.
• Review critical code changes and uphold engineering standards.

Recommended Certifications (Nice-to-have)

• AZ-204 (Azure Developer Associate)
• AZ-900 (Azure Fundamentals)
• Secure coding / OWASP training
• Microsoft security certifications (optional)

Interview Process

1. 20–30 min intro call
2. Technical interview (system design + deep .NET/API/SQL + security mindset)
3. Final discussion + offer

The Full Stack Developer is responsible for designing, developing, and maintaining both frontend user interfaces and backend services in alignment with approved enterprise architecture, security standards, and governance frameworks.

This role ensures that delivered features meet functional and non-functional requirements while providing seamless integration between UI, APIs, databases, and Azure cloud infrastructure.

The position operates within defined architectural boundaries and collaborates closely with Solution Architects, Product Owners, QA, DevSecOps, and UI/UX teams to deliver secure, scalable, high-performance digital solutions.

Role Purpose

Design, develop, and maintain end-to-end application features across frontend and backend layers while ensuring alignment with architectural, security, and performance standards.

Requirements

Must-have

• 4+ years of professional full-stack experience (enterprise web apps)
• Strong TypeScript + React and/or Angular experience (shipping production UIs)
• Strong .NET 6+ experience building ASP.NET Core Web APIs
• Solid SQL Server skills (queries, indexing basics, performance tuning mindset)
• Practical secure coding knowledge (OWASP Top 10; not just buzzwords)
• Experience with authentication/authorization in web apps (JWT/OAuth2)
• Testing culture: unit tests + basic integration/e2e where appropriate
• Git + PR workflows (code reviews, branch protection)
• English B2+ (you can explain security tradeoffs and write clear PRs)

Nice-to-have

• Azure production experience (App Services, Functions, Storage, Key Vault, App Insights)
• Docker basics; microservices patterns; API gateway familiarity
• Experience modernizing legacy codebases / imperfect documentation
• SAST tooling experience (Veracode/Sonar/etc.)
• Arabic fluency

Recommended Certifications

AZ-204 (Azure Developer Associate)

AZ-900 (Azure Fundamentals)

Secure Coding / OWASP Training

Microsoft Security Certifications (Optional but preferred)