DevOps Engineer

Maven Robotics • Santa Clara, CA

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About The Position

As a DevOps Engineer at Maven Robotics, you will build and run the infrastructure that ships, observes, and secures a fleet of industrial robots and the platform behind them. This generalist role spans DevOps, SRE, and security, working across AWS, on-premises and edge Kubernetes, CI/CD, and telemetry.

As an early member of a small infrastructure team, you will have autonomy to take ownership, solve complex problems, and drive solutions from concept to execution. You will build metrics and insights to support data-driven decisions and work with robotics and ML engineers to address challenges safely and effectively.

Requirements

• 5+ years of experience in DevOps, SRE, platform, or infrastructure engineering, with ownership of production systems.
• Hands-on experience building and maintaining infrastructure as code, such as Terraform or Ansible, in production environments.
• Strong Linux expertise and proficiency in scripting languages such as Python and Bash.
• Experience designing and managing observability systems, including metrics, logging, and tracing, to drive data-informed decisions.
• Production experience with containers and Kubernetes, including deployment, networking, storage, upgrades, and troubleshooting.
• Strong understanding of security best practices, including threat modeling, least-privilege access, secrets management, and implementing security controls.
• Ability to independently solve ambiguous technical challenges, take ownership, and deliver production-ready solutions.
• Proactive, solutions-oriented mindset, strong communication skills, and ability to navigate tradeoffs and collaborate across teams.

Nice To Haves

• Experience with edge or on-premises infrastructure supporting robotics, industrial systems, or remote environments with limited connectivity.
• Familiarity with Kubernetes distributions such as Talos and GitOps tools such as Argo CD or Flux.
• Knowledge of ML infrastructure, including distributed computing, cloud storage, data pipelines, and large-scale artifact management.
• Strong networking fundamentals, including VLANs, VPNs, firewalls, and network segmentation across IT/OT environments.
• Contributions to open-source infrastructure projects or hands-on experience building and maintaining a homelab.

Responsibilities

• Build and manage infrastructure as code across AWS and on-premises environments to ensure scalability, reliability, and reproducibility.
• Own and optimize CI/CD pipelines for robotics software, ML workloads, and platform services.
• Design and maintain observability systems to monitor performance, reliability, capacity, and costs.
• Deploy and operate Kubernetes clusters across cloud and edge environments to support robotic systems and deployments.
• Implement security best practices, including secrets management, IAM, mTLS, Linux hardening, and vulnerability scanning.
• Define SLOs, lead incident response, and drive continuous improvement through root cause analysis and postmortems.
• Automate repetitive tasks, streamline infrastructure operations, and improve engineering efficiency.
• Collaborate with robotics, ML, and field engineering teams to solve technical challenges, improve developer experience, and document scalable solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed