Senior DevOps (System Reliability) Engineer

Company Overview:

Dyna Robotics is at the forefront of revolutionizing robotic manipulation with cutting-edge foundation models. Our mission is to empower businesses by automating repetitive, stationary tasks with affordable, intelligent robotic arms. Leveraging the latest advancements in foundation models, we're driving the future of general-purpose robotics—one manipulation skill at a time.

Dyna Robotics was founded by industry leaders who previously achieved a $350 million exit in grocery deep tech as well as top robotics researchers from DeepMind and Nvidia. Our team blends world-class research, engineering, and product innovation to drive the future of robotic manipulation.  With $20mil+ in funding, we're positioned to redefine the landscape of robotic automation. Join us to shape the next frontier of AI-driven robotics.

Role Overview:

We are seeking a talented and driven DevOps / System Reliability Engineer (SRE) to join our growing team onsite in Redwood City, California. At Dyna, our software systems run on cloud infrastructure as well as IoT robot devices deployed to diverse customer locations. You will be responsible for building, maintaining, and ensuring the reliability and scalability of our infrastructure and systems in the cloud and on our robots. This role involves a blend of DevOps practices and SRE principles, where you will not only automate deployments and infrastructure but also actively monitor system health, manage releases, and address production issues. As an early member of our team, you will have a significant impact on our development workflow and the overall success of the company.

Responsibilities:

• CI/CD Pipeline Management: Design, implement, and maintain robust build tools and CI/CD pipelines for test automation and code quality. Optimize existing pipelines for speed and efficiency.
• Deployment Automation: Implement and manage deployment tools like Spinnaker, Helm, or similar for reliable automated deployments to the cloud and to our robots.
• Security and Access Control: Set up and manage authentication for internal tools and customer deployments to enhance security and streamline access.
• Containerization and Orchestration: Automate image builds within our CI/CD pipeline. Work with containerization technologies like Docker and orchestration tools like Kubernetes.
• Environment Management: Set up and maintain staging and production environments for our services to facilitate testing, validation, and high availability.
• IoT Device Monitoring and Alerting: Implement and manage comprehensive monitoring, logging, and alerting solutions for Linux IoT devices to ensure system health, performance, and observability.
• System Reliability and Availability: Monitor system performance and availability, proactively address potential issues, and ensure high uptime. Develop and implement incident response procedures. Participate in on-call rotations to address production issues.
• Release Management: Manage and coordinate releases, ensuring smooth deployments and minimal downtime. Troubleshoot and resolve release-related issues in a timely manner.
• Collaboration and Documentation: Work closely with development teams to understand their needs and provide DevOps/SRE support. Document processes, configurations, and incident reports thoroughly.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 10+ years of experience in a DevOps, SRE, or similar role.
• Strong Linux system administration experience.
• Strong understanding of CI/CD and test automation.
• Proficiency in scripting languages such as Bash or Python.
• Experience with build tools like Bazel.
• Familiarity with deployment tools like Spinnaker, Helm, or similar.
• Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes.
• Experience with cloud platforms (e.g., AWS, GCP, Azure).
• Experience deploying software to IoT or Linux devices.
• Strong problem-solving and troubleshooting skills, particularly in production environments.
• Exce