We are looking for a Senior DevOps Engineer to own the build, deployment, and release infrastructure that keeps Knightscope's autonomous security robot fleet running. You will work across a small, highly efficient team, owning CI/CD pipelines, cloud infrastructure, and the OTA deployment systems that push software and ML models to a production fleet of robots operating around the clock across the US. Key Responsibilities • Build, operate, and continuously improve end-to-end CI/CD pipelines for a production robotics platform spanning autonomy, security perception, and embedded firmware stacks. • Own the OTA update pipeline: multi-image container builds, staged fleet rollout, and rollback across heterogeneous hardware targets. • Manage cloud infrastructure and Kubernetes deployments supporting ML training pipelines, model registry, and fleet telemetry. • Triage CI failures, distinguish infrastructure from product issues, and drive resolution with clear ownership. • Improve observability across pipelines and deployed systems through automation, metrics, logging, and monitoring. • Build and maintain internal tooling, leveraging AI to automate workflows, reduce toil, and improve CI failure analysis. • Mentor engineers and contribute to platform architecture decisions across the team. Required Qualifications • 10+ years in DevOps, SRE, or platform engineering with ownership of CI/CD systems, cloud infrastructure, and production deployments. • Hands-on experience with GitHub Actions or GitLab CI, Git-based workflows, and collaborative software development at scale. • Strong Linux systems expertise including networking, storage, performance, and security. • Practical experience with AWS and container technologies including Docker and Kubernetes. • Experience supporting C++ and Python development teams on Linux. • Python scripting and automation tooling experience. Preferred Qualifications • Experience with ROS2-based robotics development workflows, multi-repository builds, and platform-specific targets. • Experience with multi-architecture CI environments spanning x86 and ARM64 embedded targets. • Experience with OTA update systems or fleet deployment pipelines for embedded or edge hardware. • Background in ML model deployment pipelines: model packaging, registry management, and staged rollout to edge devices. • Previous experience in release engineering including branching strategies, artifact management, and CDN distribution. Compensation & Benefits • Base Salary: $180,000 to $220,000 (DOE) • Equity: Stock options • Benefits: Medical, dental, vision, 401(k), paid time off • Location Requirement: Full-time, on-site at Sunnyvale HQ