DevOps Engineer (Robotics)

Location: Palo Alto, United States; on-site

Company

hirify.global develops generalized physical AI and robotic systems for dexterous, adaptive work in industrial environments.

What you will do

• Design, deploy, and maintain scalable cloud infrastructure on AWS, GCP, or Azure.
• Build Infrastructure as Code with Terraform and develop CI/CD pipelines for robotics software, embedded applications, and machine learning workflows.
• Automate software deployment across development robots, test environments, and production fleets.
• Manage Kubernetes clusters, containerized services, build systems, artifact repositories, and release processes.
• Monitor infrastructure and application performance, improve reliability, security, disaster recovery, and cloud cost efficiency.
• Partner with robotics, firmware, and ML teams on reproducible development environments, simulation infrastructure, incident response, and operational improvements.

Requirements

• 4+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering.
• Strong Linux administration skills and experience with AWS, GCP, or Azure.
• Production experience with Kubernetes, Docker, Infrastructure as Code, and CI/CD platforms such as GitHub Actions, GitLab CI, Jenkins, or Buildkite.
• Proficiency in Python, Go, or Bash for infrastructure automation.
• Experience with monitoring and logging tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
• Strong understanding of networking, security, authentication, distributed systems, and production troubleshooting.

Nice to have

• Experience supporting robotics, autonomous systems, embedded software, or fleets of physical devices.
• Experience with GPU infrastructure, ML training clusters, NVIDIA GPUs, CUDA, or distributed training systems.
• Experience supporting simulation environments, large binary assets, artifact repositories, edge computing, or IoT deployments.
• Knowledge of software supply chain security and SBOMs.

Culture & Benefits

• Hands-on work with physical AI and robotic systems in real-world industrial environments.
• Cross-functional collaboration with software, robotics, firmware, and ML teams.
• Ownership of infrastructure used to develop, test, deploy, and monitor robotic systems.