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)
