Software Engineer, DevOps

Job description

Job responsibilities

• Build and maintain CI/CD pipelines across robotics, AI, and software systems using tools such as GitHub Actions.
• Design and manage cloud-native, containerized infrastructure using Kubernetes, Docker, and related technologies.
• Deploy and support workloads across cloud and edge environments.
• Improve developer workflows through automation, tooling, and infrastructure enhancements.
• Support testing, packaging, deployment, and observability for distributed robotics and AI systems.
• Collaborate cross-functionally with robotics, ML, and platform engineering teams to improve reliability and scalability.
• Optimize build systems, monorepos, and deployment workflows for complex engineering environments.

Job requirements

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 3-7 years of experience in DevOps, Platform Engineering, Cloud Infrastructure, SRE, or related roles.
• Strong experience with Kubernetes, Docker, and cloud-native infrastructure.
• Experience building and maintaining CI/CD systems in complex engineering environments.
• Strong scripting or programming skills in Python, Bash, Go, or similar languages.
• Solid understanding of Linux systems, networking, and distributed systems fundamentals.
• Strong problem-solving skills and ability to work effectively across multidisciplinary teams.
• Experience supporting robotics, autonomous systems, IoT, or edge computing environments.
• Experience with MLOps, AI infrastructure, GPU workloads, or ML deployment pipelines.
• Familiarity with ROS, Terraform, Helm, ArgoCD, or related infrastructure tooling.
• Experience managing large monorepos, build systems, and developer platforms.
• Experience building observability and reliability systems for distributed infrastructure.
• Kubernetes certifications such as CKA, CKAD, or CKS.
• Bias for action and ability to thrive in fast-moving, ambiguous environments.