Platform Engineer - LLM Inference Infrastructure (Go/Kubernetes)

Location: Based in Helsinki or London, or remote in Europe; hybrid work mode

Company

hirify.global builds a full-stack AI cloud spanning data centers, hardware, and a cloud platform for AI teams.

What you will do

• Build and maintain production Go services for the platform API, customer usage API, metering, and billing.
• Develop the Kubernetes-native platform through GitOps, custom resources, controllers, progressive rollouts, network policies, and certificate management.
• Implement multi-tenancy, tenant provisioning, project-level model access, and credential handling across environments.
• Build usage metering and billing reconciliation that accurately accounts for per-tenant token usage.
• Improve observability with logs, metrics, and traces that support incident investigation.

Requirements

• 4+ years of professional experience.
• Strong production experience with Go, including concurrency, context propagation, and error handling.
• Deep Kubernetes knowledge, including Helm charts, network policies, RBAC, and control-loop behavior.
• Strong SQL and relational data-modelling skills with PostgreSQL, including transactions, indexes, and migration safety.
• Ability to verify changes in production and communicate testing limits clearly.
• Clear written English for design notes, runbooks, and incident write-ups.

Nice to have

• Experience building Kubernetes operators and controllers with CRDs, controller-runtime, Kubebuilder, or Operator SDK.
• GitOps at scale with Argo CD or Flux, including multi-cluster environments.
• LLM serving experience with vLLM, SGLang, TensorRT-LLM, KServe, GPU scheduling, batching, or KV cache behavior.
• Experience with distributed messaging, ingress, time-series or log stores, frontend maintenance, billing systems, or Python.

Culture & Benefits

• Cash and equity compensation.
• Healthcare, lunch, wellbeing, and other fringe benefits.
• Profitable operations with rapid, sustained growth.
• Collaboration with engineers, researchers, and partners across the global AI ecosystem.

Hiring process

• Applications are submitted through the Careers page; applications by email are not accepted.
• The position has no artificial application deadline, and hiring proceeds once a suitable candidate is found.