You will establish and scale Quality Assurance as a cross-cutting engineering capability across multiple cross-functional Scrum teams. In a matrix organization with distributed QA capacity, your mission is to:
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Enable teams to own quality end-to-end
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Build a scalable QA platform and operating model
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Drive automation, AI adoption, and engineering best practices
You act as a Functional Lead for QA Engineering. QA Engineers are embedded in cross-functional Scrum teams, working alongside Lead Developers, Software Engineers, DevOps Engineers and Technical Product Managers. You ensure alignment, standards, and quality consistency across all teams.
QA Strategy & Operating Model-
Define and implement a scalable QA operating model across multiple teams
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Establish clear QA standards, processes, and governance
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Balance team autonomy with centralized QA best practice
Continuously evolve QA as a platform capability within Engineering
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Cross-Team Leadership in a Matrix Organization
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Lead QA engineers across multiple cross-functional teams (functional leadership)
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Ensure consistent QA practices, tools, and quality standards across all teams
Act as the central point of coordination for QA topics across engineering
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QA Enablement & Shared Ownership of Quality
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Enable development teams to take shared ownership of quality (shift-left)
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Collaborate closely with Lead Devs, DevOps Engineers, Technical Product Managers
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Provide training, coaching, and guidelines for QA best practices
Reduce dependency on centralized QA execution through enablement
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Automation & QA Platform Engineering
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Design and drive test automation strategies (smoke, regression, API, E2E)
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Build reusable QA frameworks and integrate them into our Engineering Platform
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Integrate automated testing into CI/CD pipelines (Azure DevOps, YAML)
Ensure scalability and maintainability of automation across teams
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AI-driven QA Innovation
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Evaluate and implement AI-powered QA solutions, such as:
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Test generation
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Regression automation
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Test coverage analysis
Use AI to improve efficiency and scalability of QA across multiple teams
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Quality Engineering & Governance
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Define and enforce quality gates (e.g. SonarQube, pipeline checks)
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Establish and track QA metrics (coverage, defects, release quality, etc.)
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Implement monitoring, logging, and feedback loops for production quality
Ensure robust systems via performance, load, and security testing strategies
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Team Development & Scaling
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Build and develop the QA team as it grows
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Define specialization areas (e.g. automation, performance, exploratory testing)
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Mentor QA engineers and support their career growth
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Ensure high-quality execution and continuous improvement of QA practices
MUST HAVE
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5+ years of experience in Quality Assurance and Software Engineering
- Proven experience in leading QA across multiple teams or products
- Strong expertise in test automation and QA architecture
- Experience working in a matrix organization and cross-functional teams
- Deep understanding of modern QA methodologies, tools, and processes
- Hands-on experience with CI/CD and automated testing integration
- Strong engineering background (ideally .NET / C# and distributed systems)
- Experience with AI-driven QA tools or strong interest in applying AI in QA
GOOD TO HAVE
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Experience with:
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Test automation frameworks (e.g. Playwright, Selenium)
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API testing (e.g. Postman)
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Performance testing (e.g. JMeter, Azure Load Testing)
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Cloud architectures (Azure, microservices, serverless)
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Modern engineering platforms and internal developer portals (e.g. Port.io, Backstage).
WHAT SUCCESS LOOKS LIKE
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Within the first 6–12 months:
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A clearly defined and adopted QA operating model across all teams
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Consistent QA practices and standards across the organization
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Significantly increased automation coverage and CI/CD integration
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Development teams actively owning and executing quality practices
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Successful introduction of AI-supported QA workflows
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Quality Metrics and regular reporting
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Improved product stability, performance, and release quality
