OCCUVISTA

Kubernetes Engineer

Deploying and managing containerised workloads on Kubernetes at production scale

Also known as:K8s EngineerKubernetes Platform EngineerKubernetes AdministratorContainer Orchestration Engineer
Growing

Kubernetes Engineer Salary

United Kingdom

£55,000 – £90,000

United States

$100,000 – $155,000

Varies by location, sector, and experience. Last updated: 2025.

What Is a Kubernetes Engineer?

A Kubernetes Engineer specialises in deploying, managing, and scaling containerised workloads using Kubernetes (K8s). While a Cloud Engineer handles broad infrastructure, a Kubernetes Engineer goes deep on container orchestration — configuring clusters, managing workload scheduling, ensuring high availability, and optimising resource utilisation across complex environments. The role is particularly prevalent in technology companies, financial services, and media organisations running large-scale microservices architectures where container reliability directly affects product availability.

The role is common in organisations running microservices architectures at scale. Kubernetes Engineers work closely with DevOps, platform, and development teams to ensure application workloads run reliably in production. They handle everything from initial cluster setup and networking to security hardening, autoscaling, and incident response when pods or nodes fail. In practice, the work spans tools including Helm for package management, Istio or Linkerd for service mesh configuration, and cloud-managed Kubernetes services such as EKS, AKS, and GKE — alongside on-call responsibilities when production workloads degrade.

What Does a Kubernetes Engineer Do?

  • Deploy, configure, and maintain Kubernetes clusters across cloud and on-premise environments for production workloads
  • Manage workload scheduling, resource quotas, and namespace configuration to enforce isolation and fair resource allocation
  • Implement cluster networking using CNI plugins, ingress controllers, and service meshes to control traffic routing
  • Configure autoscaling via HPA, VPA, and Cluster Autoscaler to maintain performance under variable load conditions
  • Harden cluster security using RBAC, network policies, and pod security standards to reduce attack surface
  • Troubleshoot failed deployments, pod crashes, and node-level issues using cluster logs and observability tooling

Kubernetes Engineer Skills

Hard Skills

  • Container Orchestration
  • Cluster Architecture
  • Network Policy Design
  • High Availability Design
  • Infrastructure as Code
  • CI/CD Pipeline Design
  • Runtime Security
  • Performance Optimisation
  • Observability Engineering
  • Troubleshooting and Diagnostics

Soft Skills

  • Engineering DisciplineConsistent cluster configuration and standards
  • Problem SolvingDiagnosing pod, node, and networking failures
  • Analytical ThinkingResource optimisation and capacity planning
  • CollaborationWorking across DevOps, platform, and dev teams
  • Reliability MindsetEnsuring workload availability at scale
  • OwnershipEnd-to-end accountability for cluster health

Kubernetes Engineer Tools & Software

How to Become a Kubernetes Engineer

Typical Route

A bachelor's degree in Computer Science or Software Engineering is the standard academic entry point. Strong programs in systems programming, operating systems, and distributed computing — at the University of Washington, Carnegie Mellon University, and the University of Illinois Urbana-Champaign — build the low-level foundations the role draws on. An MS in Computer Science with a distributed systems or cloud computing concentration supports specialist depth. Kubernetes engineering is not a graduate entry role; production infrastructure or DevOps experience is the real prerequisite.

Alternative Route

Certified Kubernetes Administrator (CKA) from the Linux Foundation is the primary industry credential and is widely expected by US employers. Certified Kubernetes Application Developer (CKAD) is a complementary certification for those approaching from a development background, and CKS supports security-focused roles. Linux Foundation training courses and Killer.sh practice environments are the standard preparation routes. KodeKloud offers structured Kubernetes learning paths widely used by US practitioners, and prior Docker and Linux experience is a standard prerequisite.

A Day in the Life of a Kubernetes Engineer

Morning

Investigate a CrashLoopBackOff on three pods in the payments namespace, reviewing logs and describing the pod spec to identify a misconfigured liveness probe threshold
Configure the Horizontal Pod Autoscaler for the order processing service, setting CPU and memory thresholds based on the load test results from last week's performance review
Review the proposed cluster upgrade plan from Kubernetes 1.28 to 1.30, assessing which deprecated API versions the current workloads rely on before approving the upgrade window

Afternoon

Implement the Calico network policy restricting cross-namespace traffic between the customer-facing API pods and the internal analytics namespace, then validate with a connectivity test
Troubleshoot a node pressure eviction that caused six pods to reschedule during peak traffic, identifying that a runaway logging sidecar consumed the node's available memory
Brief the platform team on the Cluster Autoscaler configuration changes needed to handle the anticipated Black Friday traffic increase without over-provisioning baseline node capacity

Kubernetes Engineer Career Path

Cloud / DevOps Engineer

0–3 yrs

→

Kubernetes Engineer

3–5 yrs

→

Senior Kubernetes Engineer

5–7 yrs

→

Platform Engineer / Lead

7+ yrs

→

Cloud Architect

9+ yrs

Kubernetes Engineer Job Outlook

Growing

Kubernetes has become the de facto standard for container orchestration in enterprise environments, and demand for engineers with deep expertise is strong across financial services, technology, and e-commerce sectors running microservices at scale. Investment in cloud-native architectures sustains consistent hiring pressure, with organisations treating Kubernetes infrastructure as a strategic capability rather than a commodity skill. Practitioners who extend into service mesh, observability, and multi-cluster management are the most competitive at senior levels.

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