Senior Site Reliability Engineer

Apptronik•Austin, TX

15d

About The Position

Apptronik is a human-centered robotics company developing AI-powered robots, including Apollo, a humanoid robot designed to collaborate with people. The Senior Site Reliability Engineer will manage and scale the DevOps platform supporting robotics software development and releases. The platform includes Kubernetes clusters running on bare metal, virtual machines, and public cloud, as well as CI/CD and observability systems. The role spans architecture and implementation through Linux, networking, and storage troubleshooting, with a focus on making infrastructure resilient, efficient, and safe to change as the robot fleet and engineering organization grow. The engineer will build and operate platform capabilities such as cluster provisioning, build infrastructure, disaster recovery, GitOps delivery, monitoring, security, and infrastructure as code. They will partner with robotics software teams on architecture and production readiness, establish standards, and plan infrastructure capacity and cost across on-premises and cloud environments. This is a direct-hire position.

Requirements

Deep knowledge of Linux operating system internals, networking, file systems, process and resource management, and performance tuning.
Production Kubernetes experience building and upgrading clusters and debugging networking, storage, or scheduling failures.
Hands-on shell debugging experience using tools such as strace, tcpdump, ss, and perf.
Experience with infrastructure as code and GitOps tools such as Terraform, Ansible, Helm, and Argo CD.
Software development skills in Go or Python, including building tools and services.
Networking knowledge including TCP/IP, DNS, TLS, load balancing, VLANs, and BGP.
Observability skills, including selecting measurements, designing alerts, and setting SLOs.
Ability to design for failure, investigate issues to root cause, and remain clear-headed during outages.
Ability to prioritize, work independently, and complete work.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
At least 5 years of relevant Site Reliability Engineering, DevOps, or Infrastructure Engineering experience focused on hybrid cloud environments.
Record of building infrastructure from scratch and operating it reliably in production.

Nice To Haves

Experience with hybrid infrastructure involving on-premises bare metal, virtualization, SAN or NAS storage, and at least one public cloud.
Experience building and operating CI/CD and build infrastructure at scale, such as remote build execution and caching, container build optimization, and runner autoscaling.
Experience with immutable, API-managed operating systems for Kubernetes nodes and eBPF-based networking.
Experience operating container registries with replication and caching across sites.
Experience planning disaster recovery and conducting recovery drills.
Experience running infrastructure on both x86_64 and ARM.
Experience with infrastructure for robotics, embedded systems, or IoT device fleets.

Responsibilities

Manage and scale Kubernetes on bare metal, virtual machines, and public cloud, including provisioning, networking, storage, and upgrades.
Build CI/CD infrastructure, including build runners, remote build execution and caching, container registries, and autoscaling capacity on-premises or in the cloud.
Design and validate backups, multi-site recovery, and disaster-recovery drills.
Implement safe change practices using GitOps delivery, progressive rollouts, and automatic rollback based on health checks.
Define platform SLIs and SLOs and build monitoring and alerting around them.
Debug production issues across Kubernetes, Linux, networking, and storage; address root causes.
Manage infrastructure as code using tools such as Terraform, Helm, and Ansible, and develop tooling in Go or Python to reduce manual work.
Build platform security features, including single sign-on, role-based access, certificate and secret management, and minimal, patched operating systems.
Partner with robotics software teams on architecture and production readiness, and establish standards for other teams.
Plan capacity and cost across on-premises and cloud infrastructure as the robot fleet and engineering team grow.