Cloud Infra Engg - GCP

Location: Remote

Team: Performance Optimization Squad

Want to make a multi-million-dollar impact on one of the world's largest Kubernetes fleets?

We are looking for a hands-on Cloud Efficiency Engineer to join our Core Infrastructure team. This isn't a reporting or advisory role. You will be directly optimizing our massive, JVM-heavy infrastructure-tuning autoscalers, profiling services, and finding the perfect balance between peak reliability and cloud cost efficiency.

• Optimize GKE at Scale: Hands-on rightsizing of massive Kubernetes workloads and advanced autoscaler tuning.

• Profile JVM Services: Deep-dive into Java performance, interpret GC logs, and tune heap/thread configurations to maximize efficiency.

• Drive Financial Impact: Translate cloud pricing models and scheduling decisions into tangible, multi-million-dollar savings.

• Navigate Trade-offs: Masterfully balance infrastructure reliability with aggressive cost optimization.

• 5+ years of experience in cloud infrastructure with a proven, hands-on track record in resource efficiency (not just monitoring).

• Deep Cloud & K8s expertise: Strong knowledge of GCP/GKE (or equivalent AWS/Azure depth with a willingness to switch).

• Strong Java/JVM skills: Ability to profile services, debug resource contention, and optimize runtime configurations.

• Proven results: You have personally implemented cost-optimization initiatives that delivered measurable savings in a cloud-native environment.

• Highly competitive salary, equity, and premium benefits.

• Flexible work policy (work from home or the office).

• Massively scalable tech stack with real engineering autonomy.

Randstad Technologies is acting as an Employment Business in relation to this vacancy.