Loading...
Mid LevelFull-timePythonC++KubernetesDockerTerraformMachine LearningCI/CDGitGoAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a skilled and motivated DevOps Engineer to join our engineering team at Field AI. In this role, you will design, build, and maintain the infrastructure and automation that powers our development and deployment workflows for robotics and AI systems.
Key Responsibilities
- →Develop and maintain CI/CD pipelines using GitHub Actions to support multiple software stacks including Python, C++, ROS, and Docker and Kubernetes based services.
- →Design, build, and maintain containerized environments for development, testing, and production using Docker, Kubernetes and relevant technologies.
- →Deploy and manage heterogeneous workloads on Kubernetes clusters using cloud native tools.
- →Maintain and optimize monorepo build workflows and repository structure.
- →Build automation to support testing, packaging, and deployment of robotics and software systems.
- →Work closely with robotics, machine learning, and software engineers to streamline development and release processes.
- →Monitor system performance, reliability, and deployment health across environments.
- →Improve developer productivity through tooling, automation, and infrastructure improvements.
Requirements
- ✓Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
- ✓3-7 years of experience in DevOps, Infrastructure Engineering, Cloud or related roles.
- ✓Strong experience with CI/CD systems such as GitHub Actions or similar tools.
- ✓Strong hands-on experience working with container and container orchestration tools like Docker, Kubernetes, Buildkit etc.
- ✓Strong scripting or programming skills in Python, Bash, or similar languages.
- ✓Solid understanding of Linux systems and networking fundamentals.
- ✓Excellent problem-solving skills and the ability to work collaboratively in a team environment.
Free to sign up. Takes 30 seconds.
