Kubernetes & Application Optimization Engineer

Summary

Join MetroSys as a highly skilled engineer to participate in a cost-reduction initiative for a large-scale hosted infrastructure. This short-term contract focuses on performance tuning and right-sizing workloads on GKE, optimizing Kubernetes/Helm configurations and applications in PHP, Erlang, and Node.js. The goal is swift analysis and optimization for significant cost savings in compute and resource allocation. The role offers flexibility, with the potential for conclusion at any point depending on project progress. The ideal candidate will possess strong Kubernetes and Helm experience, proficiency in containerized environment optimization, and knowledge of the specified programming languages. A proven track record in performance engineering or operational optimization is essential.

Requirements

• Strong experience with Kubernetes (preferably GKE) and Helm charts
• Proficiency in tuning, right-sizing, and cost-optimization in containerized environments
• Working knowledge of PHP, Erlang, and Node.js application hosting and resource behavior
• Proven track record in performance engineering or operational optimization
• Comfortable working in a fast-paced, outcome-driven environment
• Ability to start quickly and work independently with minimal oversight

Responsibilities

• Analyze Kubernetes namespaces, Helm deployments, and associated workloads in GKE
• Identify inefficiencies and implement tuning for resource usage (CPU, memory, autoscaling, etc.)
• Evaluate application configurations for hosted services written in: PHP, Erlang, Node.js
• Recommend and apply changes to reduce infrastructure cost while maintaining reliability and performance
• Work closely with DevOps and engineering teams to align changes with operational requirements
• Provide documentation and handoff of any changes or recommendations

Preferred Qualifications

• Experience with cost analysis tools in GCP or third-party FinOps solutions
• Prior work in infrastructure downsizing or cloud cost containment projects
• Familiarity with CI/CD pipelines and infrastructure-as-code