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Dice
Posted 50 days agoVerified live 1d ago

Software Engineer II - Build Tools

Brief overview

Remote
UndergradOr in progress
$139k–$167k/yrStated range
4+ yrsMinimum
AWS IAMAWS EC2AWS S3DockerKubernetesAmazon EKSAmazon ECSPythonBashGoBazelCMakeMavenGradleCode Coverage AnalysisParasoftSonarQube

About the company

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Job description

Summary

Torc Robotics develops autonomous vehicle technology and engineering solutions. The Software Engineer II on the Build Tools team owns production infrastructure, builds and maintains CI/CD pipelines, and develops scalable software supporting the delivery of safety-critical autonomous vehicle systems. The role also involves incident response, code reviews, 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)
  • Remote (US), or Ann Arbor, MI (Hybrid)
  • 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)
  • Remote (US), or Ann Arbor, MI (Hybrid)

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)

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