Job Description:
• Design and maintain release management and CI/CD orchestration tooling to streamline delivery pipelines
• Own release management tooling, CI/CD orchestration, and automated KPI dashboards
• Build end-to-end data pipelines that power QA metrics, mapping, and machine learning
• Build automated KPI dashboards and regression benchmarks to monitor engineering and system performance
• Develop internal developer productivity tools that improve setup, testing, and collaboration
• Vet, integrate, and scale GenAI-powered tools to improve developer experience and automation
• Collaborate with other engineering teams to reduce manual toil and adopt infrastructure best practices
• Design, build, and own the infrastructure that enables high-velocity software delivery
• Work cross-functionally at the intersection of infrastructure, developer tools, and data engineering to improve speed, quality, and reliability of the autonomous robot fleet
Requirements:
• 5+ years of experience in software infrastructure, developer productivity, or DevOps engineering
• Strong programming skills in Python
• Proficiency in at least one systems-level language (C++, Rust, etc.)
• Expertise in CI/CD systems (GitHub Actions, Argo, or similar)
• Experience with build systems (Bazel strongly preferred)
• Proficiency with cloud infrastructure (GCP preferred) for scaling builds, tests, and data pipelines
• Familiarity with metrics & monitoring systems (Grafana, Prometheus, or equivalent)
• Strong communication and collaboration skills
• (Preferred) Experience in embedded software development or infrastructure (Robotics, IoT)
• (Preferred) Hands-on experience with GenAI tools (LLM-based coding assistants, workflow automation)
• (Preferred) Familiarity with robotics workflows such as simulation frameworks, QA automation, or mapping pipelines
• (Preferred) Background in release engineering and developer onboarding tooling
• (Preferred) Experience with observability tools (Grafana, Datadog, OpenTelemetry)
Benefits:
• Offers Equity
• Remote work (USA; also available for select Canadian locations)
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