Software Engineer II - Build Tools

Summary

Torc Robotics develops safety-critical autonomous vehicle software and related engineering infrastructure. The Software Engineer II will own build tools and production infrastructure, develop and maintain CI/CD pipelines, and write scalable Python-based code using cloud and containerization technologies. The role also includes testing, code reviews, on-call incident response, documentation, and cross-team collaboration.

Responsibilities

• 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

Skills

• 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)
• 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)
• Exposure to C/C++ in addition to Python

Qualifications

Must Haves

• 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)

Nice to Haves

• 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)
• Exposure to C/C++ in addition to Python

Benefits

• Remote (US), or Ann Arbor, MI (Hybrid)