DevOps Engineer - Data Platform & Kubernetes

Lunar

København

On-site

DKK 700,000 - 1,000,000

Full time

2 days ago
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Benefits offered by this job

4 days in office
Modern equipment
Pension & health insurance
Enhanced parental leave

Job summary

Lunar is a Nordic challenger bank building the future of financial life with AI-powered data governance. In Copenhagen, you’ll join Squad Matrix to strengthen the governed self-service data platform alongside our data engineers.

You’ll run Kubernetes for stateful workloads, create CI/CD/GitOps pipelines, own observability and reliability, and automate operations with IaC, collaborating with platform teams across data infrastructure.

Qualifications

  • Experience running Kubernetes in production for stateful/distributed systems.
  • Strong with IaC, CI/CD and GitOps practices.
  • Solid observability and reliability instincts.
  • Experience with streaming engines, distributed databases, or large-scale data processing.
  • Genuine interest in data infrastructure beyond Kubernetes alone.

Responsibilities

  • Build Kubernetes capabilities for Flink, Kafka, and distributed databases — operators, lifecycle management, storage, isolation.
  • Create CI/CD pipelines and GitOps workflows for data infrastructure.
  • Own observability and reliability — metrics, tracing, SLOs.
  • Automate manual ops through IaC and internal tooling.
  • Partner with platform teams to extend shared foundations for stateful workloads.

Skills

Kubernetes
IaC
CI/CD
GitOps
Observability
Reliability
Streaming engines
Distributed databases
Data processing
Data infrastructure

Job description

Lunar is a Nordic challenger bank building the future of financial life with AI-powered data governance. In Copenhagen, you’ll join Squad Matrix to strengthen the governed self-service data platform alongside our data engineers.

You’ll run Kubernetes for stateful workloads, create CI/CD/GitOps pipelines, own observability and reliability, and automate operations with IaC, collaborating with platform teams across data infrastructure.

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