DevOps Engineer
Core
Own and evolve the platform infrastructure powering Menlo's humanoid robot R&D, including inference serving, training rigs, and agentic coding systems.
Role type
Senior DevOps Engineer (Infrastructure)
Builds
Kubernetes clusters, hybrid cloud infrastructure, CI/CD pipelines, observability stacks, and GPU inference platforms.
Domain
Robotics R&D, Cloud Infrastructure, AI/ML Systems
Deliverable
infrastructure
Required skills
Kubernetes (production, networking, storage, autoscaling), Hybrid cloud architecture (GCP/AWS), CI/CD and GitOps, Observability stack design, Linux system administration, Infrastructure as Code, Identity and Access Management (SSO/RBAC), Network security design.
Preferred skills
OpenStack, KVM/Ceph virtualization, vLLM internals, GPU cluster operations, Event-driven autoscaling (KEDA), Kernel-level debugging.
Technologies
Kubernetes, GCP, AWS, Terraform, ArgoCD, FluxCD, Grafana, Mimir, Tempo, Loki, Prometheus, vLLM, AIBrix, Kafka, Redis, PostgreSQL, OpenSearch, Keycloak, OpenID Connect, SAML.
Responsibilities
Operate and evolve multi-cluster Kubernetes environments; Architect hybrid cloud infrastructure spanning on-prem and public clouds; Own end-to-end CI/CD and GitOps pipelines; Manage the observability stack across all clusters; Operate the inference platform for multi-model orchestration; Harden network security and identity access controls; Support training infrastructure provisioning and capacity planning.
Seniority
Senior, hands-on IC