Senior Software Engineer, Test Infrastructure
Lead the architecture and core development of Zoox's test-orchestration platform for Build Integrity Tests across manufacturing and robotaxi fleet. Own distributed task scheduling/execution, build resilient scalable systems, design extensible test frameworks and APIs, and technically lead a small team of engineers and contractors.
About the job
Responsibilities
- Own the architecture and core of the test-orchestration platform, including the distributed task scheduling, execution, and result-collection engine that runs tests across manufacturing and the fleet.
- Personally build the most complex, reliability-critical components.
- Lead a small engineering team of two engineers plus 1–3 contractors: setting technical direction, reviewing code, and growing the team's impact.
- Make the platform resilient at scale: design for safe mid-run cancellation, no result loss under failure, and predictable behavior across hundreds of test runs.
- Build clean APIs and frameworks that let other teams plug their own test suites into the platform without forking it.
- Partner across the company with multiple teams to ship test tooling that production and validation campaigns depend on.
Requirements
- Strong production Python, including hands-on experience building distributed task/queue systems (e.g., Celery or equivalent) with a message broker and result backend (Redis / RabbitMQ) - task lifecycles, retries, cancellation, and worker reliability.
- Demonstrated ability to design and maintain test frameworks for large codebases (deep pytest experience: fixtures, parametrization, scalable suites).
- Design REST and library/framework APIs that other engineers build on.
- Solid software-engineering and distributed-systems fundamentals: systematic debugging across services, networking (HTTP, TCP/IP, container networking), CI/CD pipelines, Docker, and relational databases (PostgreSQL).
- Experience as a technical lead or architect - owning a system end to end, setting direction, and reviewing/mentoring other engineers' work.
Nice-to-Haves
- Experience with Bazel (or another large-monorepo build system with hermetic/reproducible builds).
- Experience deploying and operating services on AWS/Kubernetes (EKS, Helm, ArgoCD).
- Experience with observability tooling (OpenTelemetry, Grafana/Prometheus).
- Background in manufacturing, hardware, or vehicle test systems (CAN/DoIP, Automotive Ethernet, HIL).
- Experience working with cross-functional production teams.
Skills
Python, Celery, Redis, RabbitMQ, Pytest, REST APIs, Docker, Postgres, Kubernetes, AWS, Bazel, OpenTelemetry
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