Robotics DevOps Engineer – Cloud, Kubernetes & CI/CD

Mind Robotics

Iowa

On-site

USD 120,000 - 160,000

Full time

14 days+

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Job summary

Mind Robotics seeks a DevOps Engineer to design, deploy, and maintain scalable cloud infrastructure for robotic software and ML workflows. You will automate deployment across development robots, test environments, and production fleets, while improving build systems and release processes to support rapid iteration and reliability.

You will collaborate with software, ML, and robotics teams to ensure reproducible development environments and cost-efficient operations, using Terraform, Kubernetes,

Qualifications

  • 4+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering.
  • Strong experience administering Linux systems.
  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Experience with Kubernetes and Docker in production environments.
  • Strong Infrastructure as Code experience (Terraform preferred).
  • Experience building CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar platforms.
  • Experience with configuration management and automation tools.
  • Proficiency with Python, Go, or Bash for infrastructure automation.
  • Experience implementing monitoring and logging solutions (Prometheus, Grafana, Datadog, ELK, OpenTelemetry, etc.).
  • Strong understanding of networking, security, authentication, and distributed systems.
  • Experience troubleshooting production systems under operational constraints.

Responsibilities

  • Design, deploy, and maintain scalable cloud infrastructure using AWS, GCP, or Azure.
  • Build and maintain Infrastructure as Code using Terraform or similar tools.
  • Develop CI/CD pipelines for robotics software, embedded applications, and machine learning workflows.
  • Automate software deployment across development robots, test environments, and production fleets.
  • Improve build systems, artifact management, release processes, and version control workflows.
  • Manage Kubernetes clusters and containerized services supporting robotics applications.
  • Monitor infrastructure health, application performance, and production systems using modern observability tools.
  • Improve system reliability, uptime, security, and disaster recovery processes.
  • Build internal developer tooling that increases engineering productivity.
  • Partner with robotics, firmware, and ML teams to create reproducible development environments.
  • Support simulation infrastructure and large-scale testing pipelines.
  • Optimize cloud resource utilization and infrastructure costs.
  • Implement security best practices for infrastructure, secrets management, networking, and access controls.
  • Participate in incident response, root cause analysis, and continuous operational improvements.

Skills

Linux systems
Cloud platforms
Kubernetes
Docker
Terraform
CI/CD pipelines
Python
Go
Bash
Monitoring & logging
Networking & security
Incident response

Tools

GitHub Actions
GitLab CI
Jenkins
Buildkite
Prometheus
Grafana
Datadog
ELK
OpenTelemetry

Job description

Mind Robotics seeks a DevOps Engineer to design, deploy, and maintain scalable cloud infrastructure for robotic software and ML workflows. You will automate deployment across development robots, test environments, and production fleets, while improving build systems and release processes to support rapid iteration and reliability.

You will collaborate with software, ML, and robotics teams to ensure reproducible development environments and cost-efficient operations, using Terraform, Kubernetes,

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