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Principal Test Automation Engineer

d-Matrix

Join D-Matrix as a Principal Test Automation Engineer, where you will define and build AI-enabled automation across the software development lifecycle. You will set the technical direction for workflow automation, build the shared foundation, develop evaluation methodology, and deliver the first Quality Engineering automations. You will also raise the bar across engineering through shared patterns, design reviews, and mentoring. This role offers equity, health care, flexible time-off, paid paternity leave, a 401k retirement plan, and a remote & hybrid working model.

Set the technical direction for AI-enabled workflow automation across build, CI, test, and release.

Responsibilities

  • Build the shared foundation, including the agent harness and tool integrations into GitLab, Jira, test results, logs, and observability data.
  • Deliver the first Quality Engineering automations, including cross-layer failure attribution, failure clustering and defect deduplication, coverage-gap analysis, and release-readiness summaries.
  • Deep hands-on experience with LLM APIs, agent harnesses, tool integration, and context engineering
  • Experience shipping AI-enabled tools or automation that others relied on in production, beyond demos
  • A track record of setting technical direction across teams that do not report to you
  • Enough Rust and/or C++ experience to understand build flows and diagnose compiler errors

Requirements

  • Strong fluency across the development lifecycle, including CI/CD, testing, and release processes
  • Experience designing evaluations for nondeterministic systems, showing that an automation helped without breaking something else
  • Sound judgment about when AI is the right tool, including examples of choosing not to use it
  • Extensive production software engineering experience, with strong Python skills
  • Exposure to compilers, firmware, or hardware-in-the-loop test environments
  • Experience working with GitLab, Jira, or Prometheus APIs
  • Experience managing cost and latency in LLM-based systems

Preferred

  • Experience building tool integrations with MCP or similar protocols
  • Daily use of AI coding tools such as Claude Code, Cursor, or Copilot, with well-formed opinions on where they help and where they do not

Pay

USD 195,000 - 285,000