Senior Software Engineer, Quality

This role focuses on building the next generation of quality engineering through AI-powered testing and intelligent automation.
You will design, build, and operate agents that support test creation, execution, maintenance, evaluation, and failure triage.
The role combines hands-on software engineering with test infrastructure, distributed systems, CI at scale, and emerging LLM technologies.
You will help product teams take greater ownership of quality by providing reliable tooling, patterns, and practices rather than acting as a traditional QA safety net.
You will also shape how AI-driven testing is evaluated and apply those methods to non-deterministic AI capabilities.
Working across a fully remote, global engineering organization, you will have substantial ownership and influence over technical direction.
The environment emphasizes autonomy, collaboration, experimentation, and engineering quality, with opportunities to solve complex problems at scale.

• 5+ years of professional software engineering experience, with a strong track record of writing and shipping production software.

• Hands-on experience building and owning test infrastructure, developer tooling, internal platforms, or comparable systems used by other engineers.

• Practical experience with LLMs or agent frameworks, including prompt and context design, tool use, non-deterministic behavior, and evaluation of AI-generated outputs.

• Strong understanding of distributed systems and continuous integration at scale, including reasoning about concurrency, state, timing, and system reliability.

• Ability to influence engineering teams without direct management authority and demonstrate that you have successfully driven adoption of tools or practices across teams.

• Ability and willingness to use and understand the product deeply enough to build effective quality solutions.

• Strong engineering judgment and an ability to balance quality, maintainability, delivery speed, and practical business needs.

• Excellent collaboration and communication skills, with the ability to work effectively in a distributed, cross-functional environment.

• Preferred experience with LLM evaluation or benchmarking, open-source software development, or developer tooling and platform engineering.

• Experience with Java, TypeScript, or Python, as well as Kubernetes and Helm, is advantageous.