The posting, in Apptronik's own words
archived Oct 23, 2026Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond. We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.
JOB SUMMARY
Apptronik builds humanoid robots. Our engineers depend on infrastructure we run ourselves: Kubernetes clusters on bare metal and in the public cloud, plus the CI/CD and observability systems behind every robot software release. As a Senior Site Reliability Engineer, you will manage and scale the Devops platform. Your job is to make it more resilient, faster to build on and safer to change as the robot fleet and the engineering team grow. You own your work end to end, from architecture decisions down to the Linux kernel, the network and the disk when something misbehaves. We are looking for a hands-on engineer who builds systems that are reliable by design and keeps digging until they understand why something broke.
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ESSENTIAL DUTIES AND RESPONSIBILITIES
Manage and scale our Kubernetes platform on bare metal, virtual machines and public cloud, including cluster provisioning, networking, storage and upgrades. Build the CI/CD infrastructure our robotics engineers ship with: build runners, remote build execution and caching, container registries, and autoscaling that adds capacity on-prem or in the cloud as demand changes. Design for failure: backups, multi-site recovery, and recovery drills that prove the company keeps working when a data center goes down. Make change safe with GitOps delivery, progressive rollouts, and automatic rollback when a release fails its health checks. Decide what to measure. Define SLIs and SLOs for the platform, and build the monitoring and alerting around them. Debug production issues across the stack, from Kubernetes down to the Linux kernel, the network and the disk, and fix the root cause so they do not come back. Manage infrastructure as code with tools such as , Helm and Ansible, and write tooling in Go or Python to remove manual work. Build security into the platform: single sign-on and role-based access, certificate and secret management, and minimal, patched operating systems. Partner with robotics software teams on architecture and production readiness, and set the standards other teams build on. Plan capacity and cost across on-prem and cloud as the robot fleet and the engineering team grow.