Kubernetes Platform Engineer (Go)

Penta Consulting; Dublin; On-site; EUR 70,000 - 110,000; Full time

Job summary

Penta Consulting in Dublin is seeking a Software Engineer to develop Kubernetes-native software using Go and automation tooling. You will design CRDs, reconciliation loops, and platform automation workflows, and contribute to provisioning, scaling, upgrades, recovery, and operational processes.

Proficiency with Go and Kubernetes is required, with exposure to a cloud-native stack preferred. The role emphasizes building robust, scalable software with containerized deployments on Linux, in a modern

Qualifications

• 3+ years of experience in Software Engineering, Platform Engineering, DevOps, SRE, Cloud Engineering, or Infrastructure Automation.
• Hands-on software development experience with Go (Golang) or strong experience in another language with the ability to work in Go.
• Strong practical experience with Kubernetes, containers, Linux, and cloud-native technologies.
• Exposure to Kubebuilder, Operator SDK, controller-runtime, or client-go, is desirable.

Responsibilities

• Develop Kubernetes-native software using Go, including custom controllers, operators, and automation tooling.
• Design and implement Custom Resource Definitions (CRDs), reconciliation loops, and platform automation workflows.
• Build and maintain software that automates provisioning, scaling, upgrades, recovery, and operational processes.

Skills

3+ years experience

Go (Golang) proficiency

Tools

Go (Golang)

Kubernetes

Containers

Linux

Cloud-native technologies

Job description

Penta Consulting in Dublin is seeking a Software Engineer to develop Kubernetes-native software using Go and automation tooling. You will design CRDs, reconciliation loops, and platform automation workflows, and contribute to provisioning, scaling, upgrades, recovery, and operational processes.

Proficiency with Go and Kubernetes is required, with exposure to a cloud-native stack preferred. The role emphasizes building robust, scalable software with containerized deployments on Linux, in a modern