Staff Platform Engineer

• Work closely with backend and ML engineering teams to design, deploy, and maintain reliable, high-performance, and secure cloud infrastructure for our AI engine and Studio
• Facilitate a "you build it, you run it" culture by providing the necessary tools and processes for monitoring the reliability, availability, and performance of services
• Manage CI/CD pipelines to ensure smooth and efficient code integration and deployment
• Identify and implement opportunities to enhance engineering speed and efficiency
• Conduct root cause analysis to identify critical issues and develop automated solutions to prevent recurrence
• Develop and share best practices to improve automation and efficiency across our engineering teams

• 7 years of experience in software engineering
• 5 years of experience with infrastructure-as-code
• Proficiency in managing Kubernetes clusters and applications, including creating Kustomize manifests/Helm charts for new applications
• Experience in creating and maintaining CI/CD pipelines for both applications and infrastructure deployments (using tools like Terraform/Terragrunt, ArgoCD, GitHub Actions, Ansible, etc.)
• Deep knowledge of at least one major cloud provider (Google Cloud Platform, Microsoft Azure, Oracle Cloud)
• Proficient in at least one backend programming/scripting languages such as Golang, Python, and Bash
• Candidates must be based in the SF Bay Area or willing to relocate (you will be working on-site in our South Bay office a few days a week)

• Experience with GPUs (optional)
• Experience with MLOps (huge plus!)

equity and benefits