Infrastructure Engineer — Performance Optimization

Role Summary

We're looking for a strong infrastructure engineer to join the Performance Optimization Squad within the Platform mission. You'll work alongside senior engineers and a data scientist to execute on fleet-wide cost and performance optimization initiatives — building automation, implementing changes across production infrastructure, and helping the squad scale its impact across thousands of services.

This is a hands-on execution role. You'll take well-scoped optimization initiatives like rightsizing compute resources, JVM tuning, improving workload placement and drive them to completion across the fleet.

The Opportunity

The infrastructure teams operates at a massive scale; the Performance Optimization Squad is a newly formed team with a mandate to systematically reduce infrastructure cost and improve resource efficiency across the entire fleet.

You will join a small, focused team of 4 engineers, a data analyst, and an engineering manager. The work is technical, cross-cutting, and directly measured in dollars saved and efficiency gained.

Main Responsibilities

• Implement cost and performance optimization initiatives across production infrastructure.

• Build automation processes to improve resource utilization.

• Drive execution of optimization initiatives to completion.

• Collaborate with the team on technical challenges and solutions.

• Monitor and report on cost savings and efficiency improvements.

Key Requirements

• 3–5 years of experience in infrastructure, platform, or backend engineering roles.

• Solid experience with Kubernetes (ideally GKE).

• Proficient in at least two of: Java, Go, Python, with a preference for strong scripting and automation skills.

• Comfortable with Google Cloud Platform; compute, networking, IAM, and cost monitoring.

• Familiarity with IaC tools (Terraform, Helm) and CI/CD pipelines.

• Solid understanding of reliability engineering, performance tuning, and incident response.

• Familiarity with cloud cost monitoring tools (GCP Billing, BigQuery cost exports) is a plus.

• Background in reliability engineering or SRE is a plus; understanding of SLOs, error budgets, and safe rollout practices is preferred.

• Experience with JVM-based services at scale is a plus.

Nice to Have

• Go or Python proficiency.

• GCP/cloud experience.

• Engineering degree is advantageous.

• Experience with automation, autoscaling, or workload placement.

Other Details

Workplace: Stockholm or remote within Sweden.

Start: asap - 2026-12-31 with possibility to extend.