Title : Kubernetes + Backend Engineer

About White Code Labs :

White Code Labs is an award-winning software tech. firm, ranked alongside; Microsoft, IBM, Oracle, Rackspace and RightScale.

White Code Labs is building a next-generation Kubernetes cost optimization engine that helps engineering teams reduce cloud infrastructure waste through deterministic analysis and actionable recommendations.

The Role :

We're looking for a Kubernetes + Backend Engineer who has real production experience working with distributed systems and cloud infrastructure.

Someone who has built systems that operate at scale, not just small services or applications. You will be responsible for building the core intelligence layer of Ice Clusters, which powers all analysis and optimization decisions.

What You'll Work On :

- Designing and building the Kubernetes cluster integration layer (using kubeconfig and Kubernetes APIs)

- Implementing workload discovery systems for :

A. Deployments

B. StatefulSets

C. CronJobs

D. Pods and resource mapping

- Building metrics ingestion pipelines using Kubernetes Metrics Server / Prometheus

- Developing deterministic analysis engines for :

A. Idle workload detection

B. CPU and memory over/under-provisioning detection

- Implementing resource right-sizing algorithms based on real usage patterns

- Designing and generating Kubernetes YAML patches for optimization recommendations

- Building Horizontal Pod Autoscaler (HPA) recommendation logic

- Ensuring all outputs are explainable, safe, and production-ready.

Requirements and Experience

- 5+ years of backend engineering / infrastructure / platform engineering experience

- Strong hands-on experience with Kubernetes in production environments

- Deep understanding of container resource management (CPU, memory, requests vs limits)

- Experience working with Kubernetes APIs or client libraries

- Strong background in distributed systems or cloud-native architecture

- Experience with at least one of : Go, Python, or Node.js

- Familiarity with observability or metrics systems (Prometheus, Metrics Server, etc.)

- Experience building systems that interact directly with production infrastructure.

What We're Looking For :

- Engineers who think in systems, not just services or APIs

- Builders who understand real-world Kubernetes behavior and tradeoffs

- People who are comfortable designing deterministic systems based on live data

- Engineers who have debugged production infrastructure issues at scale

- Strong intuition for performance, reliability, and cost tradeoffs.