DevOps Engineer - Docker & CI/CD

Optimal Inc.

Warren, MI, United States

28 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Artificial Intelligence Bash Shell Computer Engineering Continuous Integration Software Debugging DevOps Github Python (Programming Language) Linux System Administration Package Management Systems Release Management Software Tools

+12 more

Shell Script Software Deployment Software Engineering Software Systems Scripting Delivery Pipeline Linux Development Kubernetes Information Technology Software Version Control Docker Jenkins

Job description

The Software Engineer - DevOps will support the robotics software development team through the design, development and maintenance of Docker-based deployment environments across the organization. This role is responsible for containerization workflows, deployment validation, version control management and CI verification processes supporting multiple robotics software projects and deployment targets. The ideal candidate will help establish scalable and maintainable Docker infrastructure, improve deployment consistency, manage production artifacts and contribute to tooling and GUI development that simplifies container-based development and deployment workflows for engineering teams.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering or related field. 5+ years of experience in DevOps, software infrastructure or containerization-focused engineering roles. Strong experience with Docker and container-based development workflows. Experience with Git and version control systems. Familiarity with CI/CD Pipelines workflows and automated build validation. Experience with Linux development environments and shell scripting. Knowledge of software dependency and package management practices. Strong debugging, troubleshooting and collaboration skills., Experience supporting robotics, embedded systems or AI/ML software environments. Familiarity with GitHub Actions, Jenkins or other CI/CD platforms pipelines. Experience developing internal engineering tools or GUI applications. Knowledge of container orchestration technologies such as Kubernetes or Docker Compose. Experience with artifact repositories and release management systems. Familiarity with Python, Bash or other automation scripting languages. Understanding of software deployment lifecycle and production support workflows.

Technical Skills Docker and container lifecycle management Linux system administration and shell scripting Git and version control workflows CI/CD automation and validation pipelines Package and dependency management GUI/tool development Artifact management and release organization Python, Bash or related scripting languages