Senior Devops Engineer

Mentee Robotics is building autonomous humanoid robots with an AI-first approach, combining perception, reasoning, and dexterous manipulation in a robot that adapts and learns on the job. Our robot, Menteebot v3, is built to work in real industrial, logistics, and retail settings, handling complex tasks with human-like flexibility. Behind every robot is a deep software and ML stack that has to build, test, and ship reliably, at speed.

We're looking for a Senior DevOps Engineer to build that foundation from the ground up. This is a builder's role: you'll be creating robotics-native pipelines, observability, and fleet deployment systems from scratch.

Why Mentee

• Real ownership. You'll build the DevOps foundation from the ground up and set the practices the whole engineering team works by, not inherit and maintain someone else's playbook.
• See your impact fast. We're small enough that the systems you build are used across the company within days, not quarters.
• Innovation at the frontier. Work alongside researchers and engineers across ML, perception, control, and hardware, building infrastructure for complex challenges that require unique, first-principles engineering.
• Build for scale that matters. Robotics workloads (training, simulation, HPC) push infrastructure in ways typical web companies never hit. The technical depth here is real.

Responsibilities

• Architect and build GitOps-based CI/CD pipelines from the ground up, from code integration through testing to deployment
• Build and scale our cloud infrastructure as code with Terraform
• Build observability and deployment systems that span cloud, simulation, and the robot fleet
• Design systems for performance, scalability, and reliability as workloads grow
• Build automation in Python and Bash to engineer away manual, repetitive work
• Debug deep, novel infrastructure problems and design out their root causes for good
• Establish the DevOps standards and practices the whole engineering team builds on

Requirements

• 4+ years of DevOps experience building and scaling complex, large-scale production infrastructure
• Experience designing and building new infrastructure, not only operating what already exists
• Strong scripting skills in Python and/or Bash
• Deep working knowledge of Git and version control workflows
• Hands-on experience building CI/CD pipelines with GitHub Actions
• Strong Linux systems administration and hands-on debugging across systems, networks, and applications

Advantages

• Centralized logging and observability platforms (e.g. ELK, Datadog)
• Familiarity with MLOps tooling and workflows
• Experience with robotics or related fields
• Working knowledge of Kubernetes and cloud-native tooling
• Experience managing HPC clusters (e.g. Slurm)