Kubernetes Platform Engineer – Multi-Cloud & Automation

RECRUITERS

Dublin

On-site

EUR 90,000 - 120,000

Full time

4 days ago

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Job summary

RECRUITERS is seeking an experienced Systems Engineer to join its Kubernetes Engineering team in Ireland. You will scale, secure and automate a large-scale multi-cloud Kubernetes platform that supports critical services globally.

Join a team that values operational excellence, automation, and modern infrastructure practices while working across Linux, networking, and storage domains to improve platform resilience and developer experience.

Qualifications

3+ years of hands on experience operating Kubernetes in production environments.
5+ years of Linux Systems Engineering experience.
Strong Kubernetes administration, including workload management and control plane configuration.
Strong Linux networking, container networking and virtualisation experience.
Hands on experience with Terraform, Helm, FluxCD and CI/CD pipelines.
Experience working with production Infrastructure as Code and GitOps practices.
Strong automation skills using Golang, Python or Bash, Golang is preferred.
Experience supporting enterprise scale Kubernetes platforms and solving real production incidents.
Strong understanding of load balancing, TCP, HTTP and storage technologies.
Ability to work across infrastructure and software engineering with an automation first mindset.

Responsibilities

Manage and enhance a global production Kubernetes platform running across bare metal, virtual machines and public cloud.
Deliver Kubernetes and operating system upgrades, security patching and vulnerability remediation.
Build and improve Infrastructure as Code using Terraform, Helm and GitOps workflows.
Develop automation and tooling using Golang, Python, Bash and Ansible.
Design and maintain CI/CD pipelines to support infrastructure deployments and testing.
Support production workloads, troubleshoot complex infrastructure issues and improve platform reliability.
Enhance monitoring, observability and alerting using Prometheus and Grafana.
Deploy and support networking and storage solutions for Kubernetes workloads.
Leverage AI driven tools and automation to improve operational efficiency and reduce incident resolution times.
Collaborate with engineers to continuously improve platform scalability, resilience and developer experience.