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Senior DevOps Engineer

  • Source: LinkedIn
  • Cyngn
  • On-site
  • San Francisco Bay Area, California, United States
  • Full-Time
  • Senior

Job Description

About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles - specifically autonomous tuggers - to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn:

We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we’re publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders—they also get access to the liquidity of our publicly-traded equity.

We build today and deploy tomorrow. Our autonomous vehicles aren’t just test concepts—they’re deployed to real clients right now. That means your work will have a tangible, visible impact.

We aren’t robots. We just develop them. We’re a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone’s perspective matters—and that’s what powers our innovation.

About This Role As a Senior DevOps Leadat Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure. You will bridge the gap between cloud operations and edge computing while leading a team of DevOps engineers to build and maintain scalable, reliable infrastructure for our autonomous vehicle platform.

What You Will Do In This Role

  • Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
  • Design and implement scalable solutions for both cloud services and autonomous vehicle systems
  • Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
  • Design, develop, and operate production Kubernetes platforms (EKS and edge/lightweight distributions), including cluster lifecycle and upgrades, multi-tenancy, RBAC, networking (CNI, ingress, service mesh), autoscaling, and workload reliability
  • Develop reusable Kubernetes deployment tooling and packaging (Helm charts, Kustomize overlays, GitOps with Argo CD/Flux) and, where needed, custom controllers/operators and CRDs to automate platform operations
  • Develop and own the Terraform codebase as a product: reusable modules, remote state and workspace strategy, versioning and release process, provider upgrades, drift detection, policy-as-code guardrails, and automated plan/apply pipelines
  • Drive observability, monitoring, and incident response strategies
  • Optimize performance and cost efficiency of cloud and edge computing resources
  • Mentor team members and foster a developer-friendly environment
  • Manage on-call rotations and incident response processes
  • Architect solutions for processing and storing large-scale vehicle telemetry data
  • Lead security initiatives and compliance efforts across infrastructure
  • Design and implement solutions for both cloud services and autonomous vehicle systems
  • Optimize system performance for real-time processing of high-bandwidth sensor data
  • Develop and maintain documentation for system architecture and integration procedures

Who You Are

  • 10+ years of relevant DevOps/Infrastructure experience
  • Proven track record as a technical lead in platform or infrastructure teams
  • Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
  • 5+ years of hands-on Kubernetes development and operations at production scale, including cluster architecture and upgrades, RBAC and admission control, networking and ingress, resource requests/limits and autoscaling (HPA/VPA/Cluster Autoscaler/Karpenter), and troubleshooting workloads end to end
  • 5+ years writing production Terraform, with proven authorship of reusable modules, remote state/workspace design, provider and version upgrade strategy, and CI-driven plan/apply workflows with code review and automated testing
  • Strong experience with service mesh (Istio) and Helm/Kustomize
  • Deep understanding of ROS/ROS2 and Linux kernel configurations
  • Experience with GPU configurations and ML …

Skills

  • amazon-web-services
  • amazon-linux
  • Kubernetes
  • aws-auto-scaling
  • helm
  • kustomize
  • argo
  • argo-cd
  • Terraform
  • workspace
  • drift
  • guardrails
  • istio
  • linux-kernel
  • nvidia
  • nvidia-cuda
  • cuda
  • Python
  • Ansible
  • Jenkins
  • Github
  • github-actions
  • aws-iot
  • amazon-cognito
  • jfrog
  • jfrog-artifactory
  • amazon-iot
  • aws-greengrass
  • aws-iot-greengrass
  • hashicorp

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