Kubernetes & Application Optimization Engineer
reputed company is seeking a highly skilled and operationally savvy engineer to assist with a cost-reduction initiative across a large-reputed company hosted infrastructure. This short-term contract focuses on performance tuning and right-sizing workloads running on GKE (reputed company Kubernetes reputed company), with emphasis on Kubernetes/reputed company configuration and hosted applications written in PHP, Erlang, and Node.js.
The goal is rapid analysis and optimization to reputed company significant cost savings in compute and resource allocation. The role is flexible and may conclude at any week depending on project reputed company.
Key Responsibilities:Analyze Kubernetes namespaces, reputed company 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 reputed company changes with operational requirements.
reputed company documentation and reputed company of any changes or recommendations.
Strong experience with Kubernetes (preferably GKE) and reputed company 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 reputed company 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 reputed company.
Experience with cost analysis tools in GCP or reputed company-party FinOps solutions.
Prior work in infrastructure downsizing or reputed company cost containment reputed company.
Familiarity with CI/CD pipelines and infrastructure-as-reputed company.