Senior DevOps Lead - Cloud & Autonomous System

• As a Senior DevOps Lead at 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’ll do

• 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
• 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

DevOps, Cloud Computing, DevOps, Automotive Automation, Cloud Computing, Team Lead/Manager, Scalable System Development, Linux Operating System, Amazon Web Services (AWS), Cloud Architecture, * 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
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities, * Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

• Health benefits (Medical, Dental, Vision) through Aetna, Kaiser Permanente, and Guardian, with multiple plan tiers to choose from
• Ancillary benefits including accident, critical illness, and hospital indemnity plans (Voya)
• Company-paid basic life insurance, plus voluntary (supplemental) life for you and your dependents
• Short-term and long-term disability insurance plans
• HSA and FSA (Health & Dependent Daycare)
• Employee Assistance Program
• 1:1 Health Concierge
• Company 401(k)
• Commuter Benefits
• Flexible PTO policy
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages