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Lead Software Engineer in Test

  • 2071
  • Remote
  • Remote
  • Technology
  • Full-time
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We’re Looking For A(n): Lead Software Engineer in Test

Location: Remote or Hybrid (El Segundo, CA and/or Burbank/North Hollywood, CA)

What You’ll Be Doing: The Lead Quality Engineer is a hands-on technical leader owning test automation strategy. This person designs scalable automation frameworks, integrates testing into CI/CD pipelines, mentors, and directly influences the organization’s ability to ship frequently, reliably, and with confidence. The role balances strategic test architecture with day-to-day leadership.

*Occasional off-hours availability may be required to support business needs.

Test Strategy & Architecture

  • Own the end-to-end test automation strategy across unit, integration, acceptance, and non-functional testing layers
  • Design and maintain scalable automation frameworks for APIs, web, and mobile platforms
  • Integrate automated testing into CI/CD pipelines for rapid feedback
  • Leverage AI-powered tools to accelerate test creation, expand coverage, and reduce test maintenance burden

Engineering Quality Culture

  • Champion a culture where quality is a shared responsibility across engineering
  • Lead exploratory and usability testing practices throughout the delivery process
  • Advocate for testable, loosely coupled architecture in design reviews and technical planning
  • Analyze application logs, monitoring data, and production incident patterns to inform and expand test coverage strategy
  • Reduce change failure rate and shorten lead time by improving test coverage and feedback speed
  • Identify and eliminate testing bottlenecks that slow the delivery pipeline
  • Report quality trends and risk to engineering leadership; serve as escalation point for QA matters
  • Provide technical leadership through code reviews, framework design guidance, and best-practice documentation
  • Foster a learning culture: run knowledge-sharing sessions, stay current on testing tools, and drive adoption of AI-assisted test generation to multiply the team’s output

Qualifications (Note: We strongly encourage you to apply even if you don’t tick ALL of these boxes.):

  • Technical depth with strategic thinking — Can architect frameworks and also zoom out to align testing strategy with business delivery goals
  • Quality ownership mindset — Views quality as a system-level outcome; advocates for building quality in rather than inspecting it out
  • Coaching & influence — Elevates the testing capability of QA engineers through pairing, mentoring, and clear documentation
  • Cross-functional collaboration — Works effectively across Development, DevOps, Product, and Security to embed quality throughout delivery
  • Data-driven decision making — Uses metrics (coverage, defect trends, pipeline health) to prioritize improvements and communicate quality posture
  • Continuous improvement orientation — Relentlessly improves processes, tools, and test suites; never satisfied with the status quo
  • Communication — Translates technical quality concepts into business-relevant language for stakeholders at all levels
  • Required Education: Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
  • Preferred Education: Master’s degree in Computer Science, Software Engineering, or related field (or equivalent practical experience)
  • Required Experience:

    • 5+ years in QA/test engineering, with 3+ years in a lead or senior IC automation role.
    • Hands-on experience designing and building automation frameworks (not just writing scripts).
    • Strong proficiency in at least one programming language (Java, Python, TypeScript, or C#).
    • Expertise with modern test frameworks (e.g., Playwright, Jest, Selenium, Cypress, Appium, RestAssured).
    • Experience integrating automated tests into CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions).
    • Demonstrated experience using AI-powered tools (e.g., LLM-based code assistants, AI test generators) to create, maintain, or expand automated test suites
    • Experience using observability tools (logs, monitoring, APM) to identify production issues and inform test strategy
    • Strong understanding of TDD and BDD practices.
    • Proven ability to mentor engineers and influence testing culture across an organization.
  • Preferred Experience:

    • 7+ years in QA/test engineering, with 3+ years in a lead or senior IC automation role
    • Load testing experience
    • Microservices and distributed systems testing
    • Security testing integration (shift-left security).
    • Experience in regulated environments or with compliance requirements
Golden Perks & Benefits:
  • Comprehensive healthcare coverage – We cover 100% of premiums for medical, dental, and vision plans for employee-only plans.
  • Annual bonus
  • We match up to 3.5% of your 401k contributions, ensuring your retirement savings grow alongside your career.
  • 6 paid sick and mental health days, an Employee Assistance Program, free weekly yoga and meditation classes, and additional mental health benefits, because we take a holistic approach to your well-being.
  • Invest in your future with our Employee Stock Ownership Plan, where company contributions fund your retirement plan with company stock. Learn more.
  • Reimbursements for a portion of personal cell phone and internet usage for eligible employees.
  • Professional development opportunities with mentorship, continuous learning programs, and performance-based pay increases, empowering you to progress and excel in your career.
  • Through our charity sponsorships, you can make a positive impact on communities worldwide. We’ve donated over $9 million to date.
  • Potential for quarterly KPI bonuses.

The base salary range is $124,000-$155,000, plus bonus potential.

The posted salary range in this job posting reflects data based on California's cost of labor analysis. This salary range is subject to change per state; please click here to find the pay differential in your state of residence if the role is remote. 


Salary is based on a wide range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geographical location.