Platform Engineer

Required skills

Requirements

5+ years of platform/DevOps engineering experience
Experience with Kubernetes
Experience with Terraform
Experience with CI/CD pipelines
Experience in identity and auth systems, and infrastructure automation
Ability to ramp up quickly on unfamiliar tools, using documentation and AI-assisted tooling as needed
Ability to operate autonomously, knowing when to ask clarifying questions versus proceeding independently
Comfort building in a 0-to-1 environment, laying groundwork other engineers will build on
Interest in a generalist, learning-first approach over deep specialization in a single stack
Strong communication skills in both spoken and written English

Startup experience
Hands-on experience with Istio, ArgoCD, Keycloak, OPA, AlloyDB, OpenTelemetry, ESO, Atlas, Valkey, or Flipt
Experience with event-streaming or workflow systems (e.g. Redpanda, Temporal)
Exposure to healthcare-data-adjacent systems or standards (e.g. HL7/FHIR, Medplum/HAPI, OIE)
Prior experience on a platform engineering team supporting multiple product teams
Bachelor's Degree in Computer Engineering, Computer Science, or equivalent

This is a full-time role (40 hours/week) for a 6-month contract, with room to grow into a long-term engagement
Foundational hire who'll help build a self-service developer platform from the ground up alongside engineering leadership and a small group of collaborators
Build and maintain the shared infrastructure product teams build on top of (e.g., GKE, Istio, ArgoCD, Terraform, CI/CD templates)
Own the auth and identity layer, including tenant context (e.g., Keycloak, BFF, OPA)
Build and maintain the backend platform layer — service templates and shared interceptors for auth, tenant, and OTel
Build and maintain the frontend shell in React, handling auth, routing, tenant context, and the event bus
Stand up the platform foundation in phases, from cluster and CI/CD setup (e.g., GKE, Istio, ArgoCD, GitLab CI, Tilt, Buf) to core services (e.g., Keycloak, BFF, AlloyDB, OPA, OpenTelemetry, ESO, Atlas, Valkey, Flipt)
Own database platform concerns like connection pooling and tenant schema provisioning (e.g., AlloyDB), while product teams manage their own tables and queries
Build observability infrastructure, so product teams get instrumentation automatically (e.g., OTel Collector, dashboards, alerting)
Support the data platform layer as it comes online (e.g., OIE, Medplum/HAPI, Redpanda, Temporal, KServe, CDC, Iceberg)
Harden the platform toward production readiness over time (e.g., promotion flow, monitoring and security maturity, disaster recovery, load testing)

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