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Sr. QA Engineer

Job in Los Angeles, Los Angeles County, California, 90001, USA
Listing for: Renesas Electronics
Part Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Job Description & How to Apply Below

Sr. QA Engineer

The Senior QA Engineer on the Duro Design team defines, builds, and scales the quality systems that ensure hardware engineers can rely on our platform every day. You'll architect and implement quality strategy across our modern stack—from frontend interfaces to backend services—embedding confidence into how we design, ship, and operate software. This role partners closely with engineering, product, and Dev Ops teammates in a fast-moving, highly autonomous environment.

We're looking for engineers who think systemically about risk, embrace experimentation, and leverage modern AI-powered workflows to elevate quality across the organization. This is a hybrid role based in Los Angeles, CA (3 days per week in office).

A day in the life of our Senior QA Engineer:

  • Quality Strategy Ownership:
    Define and evolve our end-to-end quality strategy, determining what gets tested, at which layer, and how coverage maps to real user risk.
  • Test Architecture:
    Design and maintain scalable test infrastructure across unit, integration, and end-to-end layers using modern frameworks such as Vitest, Jest, and Playwright.
  • Cross-Functional Collaboration:

    Partner early with product and engineering teams to ensure features are testable by design and quality is embedded before code reaches production.
  • Full Stack Validation:
    Validate React interfaces, GraphQL APIs, and PostgreSQL data integrity to ensure system-wide reliability.
  • CI/CD Optimization:
    Architect and refine test pipelines in Git Hub Actions (or similar) to balance speed, coverage, and deployment confidence.
  • Experimentation & Analytics:
    Leverage Post Hog session replays, feature flags, and analytics to detect regressions, surface edge cases, and proactively identify risk.
  • AI-Driven Quality Engineering:
    Utilize AI-augmented development workflows to generate test scaffolding, explore edge cases, and increase velocity while maintaining rigorous standards.
  • Continuous Improvement:
    Lead regression analysis and incident retrospectives, transforming defects into systemic improvements that strengthen long-term product resilience.
Qualifications

Required:

  • 8+ years of professional experience in software quality engineering or software engineering with strong ownership of quality systems
  • Bachelor's degree in Computer Science or related field
  • Strong proficiency in Type Script and modern testing frameworks such as Vitest, Jest, and Playwright
  • Experience testing React frontends and GraphQL-based APIs
  • Experience working with PostgreSQL and validating data integrity across service layers
  • Hands-on experience designing and maintaining CI/CD pipelines (Git Hub Actions, Jenkins, or similar)
  • Strong architectural thinking with the ability to design scalable, maintainable quality systems
  • Excellent written and verbal communication skills
  • Comfort operating in autonomous, fast-paced environments
  • A product mindset with the ability to anticipate risk across the full feature lifecycle

Nice to Have:

  • Experience building PLM, PDM, or hardware/manufacturing industry software
  • Background in performance, load, or stress testing
  • Experience with visual regression testing tools (Percy, Chromatic, BackstopJS)
  • Familiarity with contract testing (Pact or similar)
  • Experience defining release readiness criteria or quality SLAs
  • Experience working in AI-augmented development environments

We don't hire testers. We hire engineers who elevate quality.

At Duro, AI is integrated into our engineering workflows. Engineers leverage AI-powered development environments to orchestrate tasks, structure context, and accelerate delivery while maintaining high standards of craftsmanship.

We value:

  • Architectural intuition — understanding systems before implementing them
  • Precision in communication — clear requirements produce strong outcomes
  • Pattern recognition — knowing when to abstract, reuse, or experiment
  • Product taste — recognizing quality and refining toward excellence
  • Intellectual curiosity — continuously improving how we build
  • We optimize for engineers who can look at a roadmap, anticipate where quality risk will concentrate, and design systems that enable teams to ship quickly with confidence.
Additional Information

Compensation:
The salary…

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