Field AI
DevOps Engineer
About this role
FieldAI seeks a DevOps Engineer to support infrastructure and deployment systems for AI-driven robotics platforms. You'll manage cloud environments, CI/CD pipelines, and deployment workflows that enable rapid iteration and global deployment of field-ready AI systems.
What you'll do
- Design and maintain cloud infrastructure for AI model development and deployment
- Build and optimize CI/CD pipelines for rapid iteration and testing
- Manage containerization and orchestration of robotics and AI services
- Monitor system performance, reliability, and security across production environments
- Automate deployment processes to support continuous improvement cycles
- Collaborate with researchers and engineers on infrastructure requirements
What they're looking for
- Cloud platforms (AWS, GCP, or Azure)
- Kubernetes and container orchestration
- CI/CD tools (GitHub Actions, Jenkins, GitLab CI, or similar)
- Infrastructure as Code (Terraform, CloudFormation)
- Linux system administration
- Python or shell scripting
- Monitoring and logging tools (Prometheus, ELK, DataDog)
- Git and version control workflows
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Field AI
Field AI develops embodied AI and autonomous robotics systems for real-world deployment in industrial environments like oil & gas and mining. The company is hiring software engineers to build web-based systems, perception and validation pipelines, test infrastructure, ROS-based robotic software, and customer-facing products that integrate AI with field-deployed hardware.
View all jobs at Field AILikely interview questions
- How would you design a CI/CD pipeline to support rapid iteration on ML models for robotics?
- Describe your experience with container orchestration platforms and why you chose them