Senior Backend Engineer – LLM Inference

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

Company

hirify.global is building a full-stack AI cloud spanning data centers, hardware, and cloud infrastructure for AI teams.

What you will do

• Design, build, and maintain production backend services in Go.
• Develop Kubernetes-native applications and automation for reliable platform operations.
• Build APIs and integrations supporting LLM inference services and the wider cloud platform.
• Improve scalability, performance, reliability, testing, observability, and operational processes.
• Collaborate with infrastructure and AI engineering teams on technical design, delivery, and production troubleshooting.

Requirements

• Senior-level experience designing, shipping, and operating production backend services.
• Strong production experience with Go, including concurrency, context propagation, API design, and error handling.
• Knowledge of asynchronous execution, HTTP, long-lived connections, distributed systems, caching, consistency, retries, idempotency, and event processing.
• Strong SQL and relational data modelling skills, including transactions, schema migrations, and PostgreSQL.
• Hands-on Kubernetes-native development and deployment experience, including controllers, operators, custom resources, reconciliation loops, Helm, networking, readiness, configuration, and safe rollouts.
• Clear written English and the ability to explain design decisions, trade-offs, and operational behaviour.

Nice to have

• Rust experience, especially in asynchronous or network services.
• Experience with API gateways, networking, traffic management, Valkey/Redis, NATS JetStream, or comparable systems.
• Familiarity with LLM inference systems and protocols such as vLLM, SGLang, NVIDIA Dynamo, or llm-d.
• Experience with OpenTelemetry, Prometheus, capacity planning, service discovery, GitOps, multi-cluster deployments, or Python integration tooling.

Culture & Benefits

• Full-time, permanent employment.
• Cash and equity compensation with healthcare, lunch, wellbeing, and other benefits.
• Work alongside engineers, researchers, and partners across the AI ecosystem.
• International environment with more than 40 nationalities.

Hiring process

• Applications are submitted through the Careers page; email applications are not accepted.
• Hiring continues until the position is filled.