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# DAT DevOps Engineer

- **Company:** Ford Motor Company
- **Location:** Dearborn, MI, United States
- **Experience:** Experienced
- **Salary:** $99,600.0 - $166,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, C++ (Programming Language), Continuous Integration, Linux, DevOps, Django Web Framework, Github, Python (Programming Language), Key Management, Reliability Engineering, Site Reliability Engineering Practices, Software Engineering, Data Logging, Flask (Web Framework), Delivery Pipeline, Caching, Parallel Computation, Backend, Fastapi, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Optimization Algorithms, Build Tools, Codebase, Terraform, Docker
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3117679440aae764

## About the Role

Bachelor's degree in computer science, Software Engineering, or related technical field.

2+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.

Hands-on, production experience with GitHub Actions for building and maintaining CI/CD pipelines.

2+ years of experience with Docker-based containerization.

2+ years of experience with Linux fundamentals

2+ years of experience with scripting Python

2+ years of experience working with C and/or C++ codebases and build tooling.

Strong communication skills and ability to work across diverse engineering teams.

Even better, you may have...

Experience building CI/CD pipelines for large mono-repos or multi-repo environments.

Hands-on experience with Terraform for infrastructure automation.

Strong experience supporting Bazel build systems in CI environments.

Working knowledge of Kubernetes deployments and operational patterns.

Experience with build optimization techniques such as remote caching and parallelization in Bazel.

Familiarity with backend services or APIs built in Python (FastAPI, Flask, or Django).

Experience implementing CI/CD observability, metrics, and alerting.

Experience operating workloads on public cloud platforms (GCP, AWS, or Azure).

Interest or familiarity with ADAS, embedded systems, robotics, or autonomous vehicle software.

Experience with self-hosted GitHub Actions runners.

Exposure to SRE practices and reliability engineering.

Experience supporting ML or data-intensive CI workflows.

## Description

In this role, you'll focus on reliable, secure, and scalable CI/CD automation-with an emphasis on GitHub Actions, large-scale C/C++ build systems, and Bazel. You'll partner with software and infrastructure teams to improve build performance, streamline development workflows, and support safety-critical engineering.

What you'll do...

Design, build, and operate enterprise-scale CI/CD platforms supporting ADAS software development.

Develop, maintain, and optimize GitHub Actions workflows for C/C++, Python, and multi-language build pipelines.

Support and improve Bazel-based build systems, including build performance, caching, and CI integration.

Automate infrastructure provisioning using Infrastructure as Code (Terraform).

Build, maintain, and deploy Docker containers and support Kubernetes-based workloads.

Partner with software engineers to integrate CI/CD best practices into C/C++ development workflows.

Improve reliability and observability of CI/CD systems through monitoring, logging, and alerting.

Collaborate with cross-functional ADAS teams to remove DevOps, build, and infrastructure bottlenecks.

Implement secure CI/CD practices including secrets management, artifact signing, and access controls.