Key skills
KubernetesTerraformCI/CDGoPythonDockergRPCIdentity & Access ManagementPrometheus + GrafanaKeycloakGitLab CIML/Distributed pipelinesObservabilityJavaAIMLPrometheusGrafanaGitLab
About this role
Bespoke Labs is a VC-backed applied AI research startup based in Mountain View, California. They are seeking a Senior DevOps Engineer to help design and document real-world engineering scenarios that will directly train next-generation AI systems.
Responsibilities:
- Capture real DevOps + backend incidents and convert them into benchmark tasks
- Contribute to secure, scalable, Kubernetes-native architectures
- Work across CI/CD, observability, identity, infrastructure-as-code, and backend services
- Collaborate with our team to build realistic engineering workflows
Requirements:
- 2-15 years of experience
- Technical degree specializing in building secure, scalable platforms
- Deep expertise in Kubernetes, Terraform, and CI/CD
- Strong preference for secure, offline/isolated deployments
- Proficient in Go/Python/Java, Docker, gRPC, and Kubernetes-native services
- Experience across core functional areas and technical tools, choosing at least five each from categories including: Identity & Access Management, Observability, CI/CD Pipelines, and technologies like Keycloak, GitLab CI, Kubernetes, Terraform OSS, and Prometheus + Grafana
- Strong hands-on experience in DevOps and/or Backend Engineering
- Familiarity with at least five of the following: Identity & Access Management, Observability (Prometheus + Grafana), CI/CD Pipelines, Keycloak, GitLab CI, Terraform OSS, Kubernetes tools & ecosystem
- Experience with secure, offline/air-gapped deployments
- ML/Distributed pipelines (nice to have)