DevOps Engineer

Responsibilities

• Own the developer platform end-to-end for a multidisciplinary team building an autonomous surgical robot
• Design, build, and operate CI/CD pipelines across Python, C++, and TypeScript codebases
• Own lab compute infrastructure, including on-prem Ubuntu servers and GPU workstations
• Improve developer experience, including local environments, build systems, and test reliability
• Integrate hardware-in-the-loop testing into CI workflows
• Manage and harden infrastructure security across on-prem and cloud environments
• Support ML workflows, including GPU compute pipelines and model deployment
• Own cloud infrastructure for training, data processing, and remote services
• Partner with software, ML, hardware, and data teams to optimize development velocity

Requirements

• 5+ years of experience in DevOps, platform engineering, or infrastructure engineering
• Experience operating CI/CD pipelines for polyglot codebases (e.g., GitHub Actions)
• Strong Linux systems administration and infrastructure-as-code experience
• Advanced Python proficiency
• Experience with cloud infrastructure (e.g., AWS)
• Proficiency with modern developer tooling and AI-assisted coding environments
• Strong communication skills and a service-oriented mindset

Preferred Qualifications

• Background in robotics, embedded systems, or scientific computing
• Experience with ML pipeline orchestration tools (e.g., SkyPilot, Metaflow, Ray)
• Experience operating self-hosted GitHub Actions runners at scale
• Familiarity with Python monorepo tooling (e.g., uv, Poetry, Bazel) and C++ packaging (e.g., Conan, vcpkg)
• Experience with real-time Linux systems
• Experience building audit-ready build systems for regulated standards (e.g., IEC 62304)
• Prior experience in medical device development
• Familiarity with Docker and Kubernetes

About the Company

Remedy Robotics is a medical technology company developing robotic systems for endovascular intervention. Its proprietary technology combines robotics, machine learning, and advanced computer vision to help physicians perform highly precise endovascular procedures.