Quality Assurance Manager

Confidential Jobs; United States; On-site; USD 1,730,000 - 2,344,000; Full time

Job summary

Confidential Jobs is seeking a world-class QA Manager to own quality across a modern .NET/Angular/SQL SaaS on Azure. You will evolve automation with Playwright, embed AI agents, and lead a blended team of automation and manual testers.

Hands-on in debugging pipelines and shaping strategy, you’ll deliver measurable quality improvements while mentoring engineers. You will define a long-term quality roadmap, design scalable test frameworks, and optimize CI/CD with intelligent parallelization.

Qualifications

• 8+ years in QA/QE, with leadership experience in SaaS environments.
• Hands-on with Playwright (UI + API) and modern JS/TS testing patterns.
• Strong understanding of .NET (C#) backend and Angular frontend architectures.
• Solid SQL skills for data validation, seeding, and reporting.
• Proven experience integrating tests into CI/CD pipelines with quality gates.
• Track record of AI/ML in testing with measurable outcomes.

Responsibilities

• Define a 12–18 month quality roadmap balancing speed, coverage and cost.
• Architect test frameworks scalable across microservices and frontends.
• Lead and mentor 5–10 engineers (automation and manual).
• Improve CI/CD quality gates and AI-assisted testing workflows.
• Build dashboards translating quality metrics into business outcomes.
• Conduct quarterly QA tooling and process audits.

Skills

QA leadership

Playwright UI/API

.NET/C#

Angular

SQL

CI/CD QA gates

AI in testing

QA strategy

debugging pipelines

team mentorship

Tools

Playwright

Azure DevOps

SQL

Azure services

Job description

We're looking for a world class QA Manager who leads from the front. We're not looking for a test manager. We're looking for a leader to own quality assurance broadly across a modern .NET/Angular/SQL SaaS running on Azure, who will 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.

Salary: $155,000 - 210,000 USD per month

What You'll Own

• 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 <5%, suite runtime <15 min, escape rate <2%)

Hands-On Technical Leadership

• 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

Team & Delivery Optimization

• 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
• Define and track: defect escape rate, MTTR, flakiness %, test pass rate per build, and pipeline reliability
• Build executive dashboards that translate quality into business metrics (revenue protected, incidents avoided)
• Run quarterly quality audits to reassess tooling, processes, and team composition

What You Bring

• 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
• Strong understanding of .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 clear outcomes
• Data-driven decision-maker, you use metrics to optimize, not just report
• Hands-on enough to jump into a flaky test or pipeline failure personally
• Coach-first, you grow people, not just processes
• Blameless, collaborative, you partner with devs, product, and ops as equals