£720 Per day
Undetermined
Remote
England, UK
Summary: The Cloud Efficiency Engineer will play a crucial role in optimizing a large-scale Kubernetes infrastructure, focusing on enhancing performance and cost efficiency. This hands-on position requires direct involvement in tuning autoscalers and profiling JVM services to achieve significant financial impacts. The ideal candidate will have extensive experience in cloud infrastructure and a strong background in Java performance optimization. This role is part of the Performance Optimization Squad and offers a flexible working arrangement.
Key Responsibilities:
- 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.
Key Skills:
- 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.
Salary (Rate): £720 per day
City: undetermined
Country: UK
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Cloud Efficiency Engineer - Core Infrastructure
Location: Remote
Team: Performance Optimization Squad
About the RoleWant 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.
What You'll DoOptimize 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.
What We're Looking For
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.
Quick Perks
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.