**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.