Developer Toolchain. Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure
Ensure reliability of multi-cloud Kubernetes clusters and pipelines
Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications
Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers
Automate operations and engineering. Focus on automation so we can spend energy where it matters
Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets
5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field
Deep proficiency with coding languages such as Golang or Python
Deep familiarity with container-related security best practices
Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus
Production experience with Kubernetes templating tools such as Helm or Kustomize
Production experience with IAC tools such as Terraform or CloudFormation
Production experience working with AWS and services such as IAM, S3, EC2, and EKS
Production experience with other cloud providers such as Google Cloud and Azure is a bonus
Production experience with database software such as PostgreSQL
Experience with GitOps tooling such as Flux or Argo
Experience with CI/CD such as GitHub Actions