Kubernetes Platform Engineer

Overview

As a Kubernetes Engineer, you design, deploy and troubleshoot complex Kubernetes infrastructures at scale. You work across deployment strategies (Helm, GitOps, self-hosted or managed services) and oversee service mesh adoption (Linkerd, Istio, Consul, or alternatives). You optimise containerised applications for performance, scalability and reliability while building and maintaining CI/CD pipelines for automated deployments. You handle infrastructure as code and automation, and contribute to on-prem to cloud migrations. This role offers hybrid work with funded training opportunities to stay at the forefront of Kubernetes tech.

Pay / Benefits

• fully funded training and certifications
• hybrid work model (60-70% remote)

Responsibilities

• Design, deploy and troubleshoot Kubernetes infrastructures at scale
• Implement and manage service mesh (Linkerd, Istio, Consul, or others)
• optimise performance, scalability and reliability of containerised apps
• develop and maintain CI/CD pipelines for automated deployments
• drive automation and scripting across environments (IaC)
• use infrastructure as code tools (Terraform, CloudFormation, Pulumi, Bicep) depending on project
• support on-prem to cloud migrations and hybrid deployments
• stay current with new tools and solutions, contributing to platform evolution
• participate in training, conferences and certifications, funded by the company

Key requirements

• Kubernetes expertise with hands-on design/operational experience
• experience with Helm and GitOps deployment patterns
• familiarity with service mesh technologies (Linkerd, Istio, Consul)
• strong IaC experience (Terraform, CloudFormation, Pulumi, or Bicep)
• proficiency in scripting and automation
• Linux proficiency and ability to work in mixed on-prem/cloud environments
• experience with CI/CD automation and pipeline tooling
• ability to operate in a hybrid/remote-friendly setup
• unknown educational requirement

• collaborative
• problem-solving
• curiosity and willingness to learn
• Kubernetes (design, deployment, troubleshooting)
• Helm
• GitOps

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