As a Software Engineer II on the Build Tools team at Torc Robotics, you will serve as the automation backbone for our entire engineering organization. In this highly impactful DevOps/Full-Stack role, you will take ground-floor ownership of the tools and infrastructure that directly drive our release velocity and system reliability.
You will be responsible for running real production infrastructure, building and maintaining robust CI/CD pipelines, and writing scalable code to support the teams shipping our safety-critical autonomous vehicle (AV) software. We are looking for an engineer with strong Python skills and deep, hands-on experience with containerization and cloud architecture.
What You'll Do
Build technology solutions, analyze requirements, and seek guidance from your manager and peers on scope and objectives.
Contribute to design discussions, proposing solutions and creating diagrams and design documents for clarity.
Write and modify code to deliver solutions, thoroughly testing via unit and integration tests and fixing bugs to ensure quality.
Collaborate with teammates to integrate your work into the larger codebase, and give/receive feedback through code review to improve quality and support continuous learning.
Actively participate in team meetings, sharing progress and challenges, and seek mentorship to learn best practices.
Participate in your team's on-call rotation, troubleshooting incidents, analyzing production logs, and guiding root-cause analysis (RCA).
Work across team boundaries to understand how your team’s deliveries contribute to Torc’s broader product offerings.
Expand documentation coverage, including runbooks, tutorials, API documentation, and user guidance.
What You'll Need to Succeed
Bachelor's degree plus 4+ years of experience; or a Masters Degree plus 0-3 years of experience.
Proven ability to tackle critical challenges with minimal supervision and strong independent judgment.
Proficiency in AWS core services (IAM, EC2, S3) and container orchestration platforms (Docker, Kubernetes, EKS, ECS).
Fluency in an object-oriented language (Python preferred) combined with solid scripting/templating skills (Bash, Go).
Hands-on background with build tools (Bazel, CMake, Maven, Gradle) and code coverage analysis (Parasoft, SonarQube, CodeQL).
Intermediate competency with CI/CD tools (GitHub Actions, Jenkins, GitLab, ArgoCD) and workflow tools (Temporal, AWS Step Functions, Argo Workflows).
Solid understanding of logging and monitoring ecosystems (Datadog, CloudWatch, New Relic).
Bonus Points
Experience with JFrog Artifactory or similar artifact/package registry platforms.
Familiarity with safety-critical or embedded software practices (e.g., MISRA C static analysis, VectorCAST or similar unit-test tooling for embedded systems).