Drimva

Meta

Software Development Engineer in Test

$173K–$237K

Menlo Park, CA +1 · Full-time · Posted Sep 9, 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, relevant technical field, or equivalent practical experience.

About the job

Leads organization-wide quality engineering strategy and builds test frameworks, infrastructure, and practices for large-scale distributed software systems.

What you'll do

  • Define quality strategy, test architecture, and testing standards across product areas.
  • Build scalable test automation frameworks and tooling; improve CI/CD quality gates, rollout validation, and production reliability.
  • Lead cross-functional quality initiatives, metrics, and engineering enablement; mentor engineers and influence roadmaps.

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 multiple teams or product areas, and with performance, reliability, or fault-injection testing.
  • Experience with observability and telemetry, plus communicating quality strategy to technical and non-technical stakeholders.

Nice to have

  • Experience with static analysis, fuzzing, or model-based testing.
  • Experience building quality tooling across mobile, web, and backend systems; organizational influence through tooling, standards, or enablement.

Pay

$173,000/year to $237,000/year (base salary)

Tools

CI/CD, observability platforms, static analysis, fuzzing, model-based testing, mobile, web, backend

AI focus

Apply responsible, ethical AI practices; continue developing AI skills such as prompt/context engineering and agent orchestration; integrate AI tools to improve workflows and deliver measurable efficiency or quality gains.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)