Job Duties and Responsibilities:

1. Own and deliver complex, cross-team quality initiatives end-to-end — from ambiguous problem definition through architecture, implementation, and production rollout with minimal oversight
2. Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design
3. Generate original solutions to ambiguous or previously unsolved quality problems; use sound engineering judgment when there is no obvious answer
4. Anticipate, communicate, and manage quality and release risk across team boundaries; make prioritization trade-offs in partnership with engineering leadership
5. Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices, and drive their adoption beyond your own team
6. Guide new and existing engineers on execution of sub-tasks within larger quality initiatives; raise the bar on code review standards for reliability, performance, security, and maintainability
7. Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring customer issues and drive systemic product and process improvements
8. Respond to and help resolve critical production issues/customer escalations during on-call rotation, driving root-cause analysis
9. Mentor engineers, contribute to hiring and interviewing, and help improve engineering culture across the team and adjacent teams
10. Drive adoption of AI powered testing capabilities — such as AI-assisted test case/script generation, self-healing test automation, and AI-driven test coverage or anomaly/log analysis — to improve quality engineering efficiency and coverage across teams
11. Evaluate emerging AI tooling and agentic testing frameworks, and lead pilots to integrate them into existing automation and CI/CD pipelines

Minimum REQUIRED Knowledge, Skills, and Abilities:

1.  8+ years of quality/test engineering experience with deep, hands-on test automation expertise across API, end-to-end, and performance/scale testing
2.  8+ years of experience building and scaling automation frameworks using Java (or equivalent object-oriented language), including UI and/or API testing tooling
3.  5+ years of experience designing and executing performance, load, and reliability testing (e.g., JMeter, Gatling) and using results to influence engineering decisions
4.  5+ years of experience with observability and diagnostic tooling (Splunk, Datadog, Grafana), SQL, and Unix/Linux systems
5.  Demonstrated ability to independently own and deliver cross-team, ambiguous technical projects without oversight, including planning, scoping, and production readiness (scalability, monitoring, alerting, resource efficiency)
6.  Proven track record of influencing technical direction and driving alignment across multiple teams and stakeholders (engineering, product, design)
7.  Strong written and verbal communication skills; experience leading technical design discussions and building stakeholder buy-in
8.  Experience mentoring engineers and contributing to team hiring/interviewing processes
9. Hands-on experience applying AI/ML tools to quality engineering — e.g., LLM-based test/code generation, AI coding assistants (Copilot, Cursor, Claude Code), self-healing test frameworks, or AI-driven anomaly/log analysis
10.  Ability to quickly learn new technologies, evaluate trade-offs, and provide technical direction to others

 Education and Training:

 B.S. in Computer Science or related field, or equivalent practical experience. Advanced degree a plus.

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