Meta
Software Development Engineer in Test
$173K–$237K
Menlo Park, CA +1 · Full-time · Posted Oct 12, 2026
- Location
- Menlo Park, CA
Seattle, WA - Experience
- 8+ years in software development engineering in test, quality engineering, or software engineering focused on test infrastructure and automation.
- Education
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Leads quality engineering strategy and builds test infrastructure and practices to improve reliability, coverage, and release confidence across Meta’s distributed software systems.
What you'll do
- Define quality strategy, test architecture, and organization-wide testing standards.
- Build scalable test automation and quality infrastructure; improve CI/CD gates, rollout validation, and quality metrics.
- Lead cross-team reliability initiatives, resolve systemic issues, and mentor engineers on quality practices.
What they ask for
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- Experience designing large-scale test automation frameworks and CI/CD quality pipelines for distributed systems.
- Experience defining quality strategy across engineering teams, and with performance testing, reliability engineering, or fault-injection testing for high-scale production systems.
- Demonstrated ability to integrate AI tools to improve workflows and measurable outcomes, and to implement responsible, ethical AI practices.
Nice to have
- Experience building quality tooling across mobile, web, and backend systems; observability and production monitoring; static analysis, fuzzing, or model-based testing.
- Ongoing AI skill development, such as prompt/context engineering or agent orchestration.
Pay
$173,000/year to $237,000/year (base salary)
Tools
CI/CD
AI focus
Integrate AI tools to optimize or redesign workflows and deliver measurable impact; apply responsible AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
Model-written summary · the original posting is authoritative