Senior AI Infra Test Development Engineer, SDET

Responsibilities

• Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products.
• Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows.
• Build and maintain high-value automated coverage for Linux-based, containerized, and Kubernetes environments.
• Investigate difficult failures across software stacks; isolate root causes and work directly with development teams through resolution with proposed bug fix PRs.
• Establish meaningful quality metrics, improve signal-to-noise in test results, and use data to prioritize engineering investment.
• Drive automation efficiency through well-engineered tooling, reusable frameworks, and AI-assisted workflows where they demonstrably improve quality or developer productivity.
• Raise the technical capability of the wider team through code reviews, design reviews, documentation, and mentorship.
• Take ownership of ambiguous, cross-functional quality problems and deliver durable solutions—not just test execution.
• What we need to see
• 5+ years of experience in infrastructure software development or test development. An MS or PhD in computer science or a related field is preferred.

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