[Hiring] Kubernetes & Application Optimization Engineer @Metrosys

Metrosys; Deutschland; Remote; EUR 60.000 - 80.000; Teilzeit

Zusammenfassung

A cloud solutions company is hiring a remote Kubernetes & Application Optimization Engineer to optimize a large-scale hosted infrastructure. The role focuses on performance tuning, cost reduction, and requires strong experience with Kubernetes and an understanding of PHP, Erlang, and Node.js. Competitive hourly rate of $75 - $100, with the flexibility of remote work.

Qualifikationen

• 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.

Aufgaben

• Analyze Kubernetes namespaces, Helm deployments, and associated workloads in GKE.
• Identify inefficiencies and implement tuning for resource usage (CPU, memory, autoscaling, etc.).
• Recommend and apply changes to reduce infrastructure cost while maintaining reliability and performance.

Kenntnisse

Kubernetes

Helm

Performance Engineering

Cost Optimization

Tools

GKE (Google Kubernetes Engine)

CI/CD Pipelines

FinOps solutions

Jobbeschreibung

Jul 25, 2025 - Metrosys is hiring a remote Kubernetes & Application Optimization Engineer. Salary: $75 - $100 per hour. Location: USA.

MetroSys is seeking a highly skilled and operationally savvy engineer to assist with a cost-reduction initiative across a large-scale hosted infrastructure. This short-term contract focuses on performance tuning and right-sizing workloads running on GKE (Google Kubernetes Engine), with emphasis on Kubernetes/Helm configuration and hosted applications written in PHP, Erlang, and Node.js.

The goal is rapid analysis and optimization to achieve significant cost savings in compute and resource allocation. The role is flexible and may conclude at any week depending on project progress.

Key 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.

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.

Preferred Skills:

• 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.

Experience Requirements

Experienced