Field AI
Software Engineer, Product Infrastructure
About this role
FieldAI seeks an experienced infrastructure engineer to design and operate Kubernetes-based platform systems supporting engineering and production workloads for their embodied AI and robotics division. You'll enhance developer experience, deployment velocity, and operational reliability across the company.
What you'll do
- Design, build, and maintain Kubernetes infrastructure and deployment automation systems
- Develop observability and monitoring solutions to ensure production reliability
- Collaborate with software engineering teams to improve developer experience and deployment velocity
- Manage cloud platform infrastructure and scaling for production workloads
- Implement CI/CD pipelines and deployment automation
- Troubleshoot production issues and drive operational excellence
What they're looking for
- Kubernetes administration and cluster management
- Infrastructure as Code (Terraform, Helm, or similar)
- Cloud platforms (AWS, GCP, or Azure)
- Observability and monitoring tools (Prometheus, Grafana, ELK, or similar)
- CI/CD pipeline development and automation
- Container technologies and Docker
- Systems troubleshooting and debugging
- Python or Go scripting
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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
- Describe your experience designing and managing Kubernetes clusters in production environments.
- How have you improved deployment velocity for engineering teams in a previous role?