Staff Software Engineer - DevOps

Staff Software Engineer - DevOps focusing on large-scale distributed systems to take our hybrid cloud platform to the next level. You will be technical lead in the development and expansion of our cloud platform which services 2000+ engineers by provisioning infrastructure as code, taking ownership of CI/CD to test deployments and automate rollbacks, and establishing best practices that can be adopted across our organization. This is a Staff role and you will be collaborating across a variety of teams to enable and provide technical leadership for our Robotic Platform CI/CD build systems, highly scalable Robot Simulation, and our Data Platform and MLOps needs.

A successful candidate must excel in a high-energy focused team environment, must have excellent communication skills, and must be able to balance independent production of results with the need to collaborate during planning, development, integration, and evaluation of research concepts and minimum viable products. The ability to learn existing systems rapidly and drive to creative—yet practical—solutions from rough requirements are essential in this position. 

Responsibilities:

• Design, implement, and maintain a secure and scalable infrastructure platform spanning across AWS and our Data Center
• Use Infrastructure as Code and containerization to create immutable reproducible deployments and establish best practices to scale that IaC project in a maintainable way
• Own and ensure that internal and external SLA’s meet and exceed expectations, System centric KPIs are continuously monitored
• Create tools for automating deployment, monitoring and operations of the overall platform
• Establish best practices for CI/CD environments and methodologies such as GitOps
• Analyze our AWS Resource usage to optimize for a balance of performance vs cost

Qualifications

Minimum Requirements:

• Minimum 8+ years of software development, DevOps, or Software automation experience with minimum bachelor’s degree in Computer Science or Engineering.
• 2+ years of Kubernetes experience focused on DevOps
• A deep understanding of CI/CD tools, processes and a strong desire to help teams release frequently to production with a focus on creating reliable high-quality results.
• Experience with Services/Tooling such as or similar to: Terraform, Packer, Docker, Kubernetes, Helm, Prometheus, Grafana, Fluentbit, Istio (Service Mesh)
• Strong background integrating continuous delivery(CD) with Kubernetes using tools such as Argo, GitLab, Spinnaker.
• Strong Git experience, development methodologies, trunk-based develop vs. git flow, etc.
• Experience working or developing Kubernetes autoscaling tools (ex. Vertical Pod Autoscaler, Cluster Autoscaler and/or the Horizontal Pod Autoscaler).
• Expertise with either AWS, GCP, Azure
• Strong end-to-end ownership and a good sense of urgency to enable proper self-prioritization

Nice to Haves:

• Experience with Gitlab CI/CD and Jenkins
• Deep understanding of AWS resources and their limitations/gotcha’s
• Experience with MLOps and Data Tooling such as: KubeFlow, Kafka, Elasticsearch, Airflow
• Experience creating Kubernetes Operators
• Strong end-to-end ownership and a good sense of urgency to enable proper self-prioritization