TeamStation AI

Hire Kubernetes Experts | Nearshore Software Development

Kubernetes is the de facto operating system for the cloud, offering unparalleled power for container orchestration, scaling, and self-healing systems. You need a Senior Kubernetes Engineer who can move beyond simple `kubectl` commands to manage a production-grade cluster's security, networking, and operational lifecycle. Our vetting process is designed to find experts who understand the underlying architecture (etcd, API server, Kubelet). We assess their deep knowledge of complex networking (CNIs, Service Mesh), resource optimization, and configuration management (Helm, Kustomize). By hiring a Kubernetes expert from us, you get a developer who can guarantee the scalability, resilience, and operational efficiency of your entire microservice fleet, transforming the way you deploy and manage software.

Are your clusters unstable and plagued by network or scaling issues?

The Problem

Misconfiguration of core K8s objects (e.g., Deployments, Services) or fundamental misunderstanding of the CNI (Container Network Interface) leads to pods that can't communicate, race conditions, and an inability to scale reliably under load. Cluster instability is a sign of shallow K8s knowledge.

The TeamStation AI Solution

We vet for a deep understanding of the K8s control plane and data plane. Our experts must demonstrate mastery of resource limits, liveness/readiness probes, and network policies, ensuring stable, self-healing deployments and predictable, secure pod-to-pod communication.

Proof: Cluster Stability and Network Policy Mastery
Is your K8s configuration manual, complex, and unrepeatable?

The Problem

Managing dozens or hundreds of YAML files for application deployments is a recipe for chaos, leading to configuration drift between environments and massive human error. This lack of standardization negates the benefit of K8s.

The TeamStation AI Solution

Our engineers are experts in K8s configuration management. They are vetted on their ability to use Helm for templating and packaging applications, Kustomize for configuration overlays, and GitOps principles to ensure all cluster state is managed via version-controlled code, guaranteeing repeatability and auditability.

Proof: Helm and GitOps Configuration Management
Are you struggling to implement secure ingress and service-to-service communication?

The Problem

Without a Service Mesh (e.g., Istio) or correct Ingress configuration, you lack critical capabilities like mTLS (mutual TLS), advanced routing, traffic splitting (canary releases), and centralized observability. This leads to insecure, opaque, and brittle microservice communication.

The TeamStation AI Solution

We look for engineers proficient in the Kubernetes ecosystem for networking. They are vetted on their ability to configure Ingress Controllers (Nginx, Traefik), implement a Service Mesh (Istio) for secure, observable communication, and manage application secrets securely using tools like Vault or K8s Secrets.

Proof: Service Mesh (Istio) and Advanced Networking

Core Competencies We Validate

Core K8s Objects (Deployment, Service, Ingress)
Configuration Management (Helm, Kustomize)
Cluster Networking (CNI, Network Policy, Service Mesh)
Security (RBAC, Pod Security, Secrets Management)
Troubleshooting and Performance Tuning

Our Technical Analysis

The Kubernetes evaluation is highly practical, focusing on architecting and managing a production cluster. Candidates are tested on their understanding of the Control Plane (API Server, etcd) and the Data Plane (Kubelet, Pods). A critical task is to deploy a multi-component application using Helm, demonstrating proficiency in templating, values management, and releasing. We rigorously test their networking expertise, requiring them to solve communication issues between Pods and Services, and to implement a secure, least-privilege configuration using RBAC (Role-Based Access Control) and Network Policies. For reliability, they must demonstrate mastery of liveness, readiness, and startup probes to ensure zero-downtime deployments. Finally, troubleshooting is key: candidates are presented with common failure scenarios (e.g., crashing containers, network errors) and are required to use `kubectl describe`, logs, and event analysis to quickly diagnose and fix the root cause, proving they can manage a complex, production-grade service mesh.

Related Specializations

DockerDevOps EngineeringIstio (Service Mesh)Prometheus

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