We're looking for a mid-to-senior Platform Engineer to join an early-stage AI company in Stockholm. The company builds agentic AI for intellectual property and legal teams, and its platform serves Fortune 500 customers with long-running, document-heavy workloads. The purpose of the hire is to own the Kubernetes platform underneath the product. As concurrent agent sessions grow from hundreds to thousands, you'll keep the infrastructure fast, secure and resilient. We want a software engineer at heart who builds the platform as code and cares about reliability, performance and cost.

Role at a glance
Location: Stockholm, Sweden (on-site)
Employment: Full-time
Seniority: Mid-Senior
Core stack: Kubernetes, Azure, Terraform / Infrastructure as Code, TypeScript, Python, distributed systems

What you'll do

Own and evolve the Kubernetes platform for heavy, long-running workloads
Design and scale distributed systems that handle unpredictable load
Build the services that run the platform, in TypeScript and/or Python
Automate infrastructure with Infrastructure as Code
Balance reliability, performance and cost with a product mindset

Must have
Deep expertise in Kubernetes and cloud infrastructure
Hands-on Infrastructure as Code experience (e.g. Terraform)
Strong software engineering background, with production experience in TypeScript and/or Python
A proven track record of designing and scaling distributed systems in production

Nice to have
Experience running AI or inference-heavy workloads at scale
Experience with enterprise security, compliance and data residency
Direct experience with Azure and Terraform

Process
Short intro call with me
Technical and experience-based conversation
Further steps with the client