The Opportunity We're not looking for a test manager. We're looking for a quality engineer who leads—someone who treats testing as a data science problem, not a checklist. You'll own quality across a modern .NET/Angular/SQL SaaS running on Azure, evolve our Playwright-based automation, and embed AI agents to make testing smarter, faster, and self-healing. You'll manage a blended team of automation and manual engineers—and stay hands-on enough to debug pipelines, review code, and unblock your team.

Define a 12–18 month quality roadmap that balances speed, coverage, and cost
AI-assisted workflows—test generation from production logs, flaky-test auto-quarantine, visual AI diffing, and predictive risk-based test selection
Shift quality left (design/PR reviews) and right (production observability, canary monitoring)
Establish quality SLOs (flakiness %,

Architect test frameworks that scale across microservices and Angular frontends
Design SQL test data strategies—synthetic data, anonymized production clones, and on-demand seed scripts
Optimize CI/CD quality gates in Azure DevOps with intelligent parallelization
Leverage Azure services for test infrastructure—containerized test runners, scale sets, and cloud-hosted agent pools





Manage and mentor 5–10 engineers (mix of automation SDETs and manual testers)
Upskill manual engineers into automation engineers within 6–9 months via pair-coding and structured learning
Implement RCA (Root Cause Analysis) discipline—blameless postmortems that drive systemic fixes, not band-aids
Optimize for maximum delivery velocity—know when to cut, defer, or automate tests based on risk and ROI

Build executive dashboards that translate quality into business metrics (revenue protected, incidents avoided)
Run quarterly quality audits to reassess tooling, processes, and team composition

8+ years in QA/QE, with 3+ years managing a hybrid (manual + automation) team in a SaaS environment
~ Deep hands-on experience with Playwright (UI + API) and modern JS/TS testing patterns
~ NET (C#) backend and Angular frontend architectures—enough to debug failures and guide testability
~ Solid SQL skills—able to write complex queries for data validation, test seeding, and reporting
~ Proven experience integrating tests into CI/CD pipelines with quality gates
~ Track record of implementing AI/ML in testing—even if experimental—with transparent outcomes
~ Data-driven decision-maker—you use metrics to optimize, not just report
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📌 Quality Manager (Assembly) (India)
🏢 Confidential
📍 India