Principal Software Engineer in Test

Job Duties and Responsibilities:

• Own and deliver complex, cross-team quality initiatives end-to-end — from ambiguous problem definition through architecture, implementation, and production rollout with minimal oversight
• Lead technical design discussions and drive stakeholder alignment on test strategy, architecture, and quality standards across engineering, product, and design
• Generate original solutions to ambiguous or previously unsolved quality problems; use sound engineering judgment when there is no obvious answer
• Anticipate, communicate, and manage quality and release risk across team boundaries; make prioritization trade-offs in partnership with engineering leadership
• Champion CI/CD, observability, monitoring/alerting, and production-hygiene practices, and drive their adoption beyond your own team
• 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
• Partner with Engineering, Product, Design, Support, and Field/CSM teams to identify recurring customer issues and drive systemic product and process improvements
• Respond to and help resolve critical production issues/customer escalations during on-call rotation, driving root-cause analysis
• Mentor engineers, contribute to hiring and interviewing, and help improve engineering culture across the team and adjacent teams
• 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
• 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:

• 8+ years of quality/test engineering experience with deep, hands-on test automation expertise across API, end-to-end, and performance/scale testing
• 8+ years of experience building and scaling automation frameworks using Java (or equivalent object-oriented language), including UI and/or API testing tooling
• 5+ years of experience designing and executing performance, load, and reliability testing (e.g., JMeter, Gatling) and using results to influence engineering decisions
• 5+ years of experience with observability and diagnostic tooling (Splunk, Datadog, Grafana), SQL, and Unix/Linux systems
• 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)
• Proven track record of influencing technical direction and driving alignment across multiple teams and stakeholders (engineering, product, design)
• Strong written and verbal communication skills; experience leading technical design discussions and building stakeholder buy-in
• Experience mentoring engineers and contributing to team hiring/interviewing processes
• 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
• 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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