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Lunar

Senior DevOps Engineer (Data)

Lunar is hiring a Senior DevOps Engineer (Data). Level rates it ; you can apply on Lunar.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classifies it as a senior role.
  • Level lists 14 other open roles at Lunar.

AI in this role

Banking hasn't changed much in decades. We're changing that. One product at a time.

Lunar is a Nordic challenger bank building the future of financial life with AI at the core. Our engineers, designers, and product people work on problems that actually matter. Making money simpler, smarter, and more rewarding for a million of registered users across the Nordics.

Fully licensed and founded in 2015, with offices in Copenhagen, Aarhus and Stockholm.

We move fast, we build with purpose, and we're just getting started.

As our new DevOps Engineer you'll join Squad Matrix based in Copenhagen, reporting to Jesper, working to build Lunar's governed self-service data platform alongside our data platform and analytics engineers.

Matrix owns Hubble, the internal data platform that makes data usable across Lunar. Your focus won't be on building pipelines or analytical products. It'll be on the infrastructure, deployment mechanisms and operational capabilities those systems depend on. You'll make running data workloads feel like a well-engineered platform rather than a collection of individually operated systems.

What will you do?

  • Build and maintain data-specific Kubernetes capabilities for workloads like Flink, Kafka, and distributed databases — including operators, lifecycle management, storage integrations and workload isolation

  • Create standardised CI/CD pipelines, GitOps workflows and deployment automation so engineers can build, test and ship data infrastructure with confidence

  • Own observability and reliability for the data platform — metrics, tracing, dashboards, SLOs and automated health checks that make production understandable and operable

  • Reduce manual operations through infrastructure automation, data-specific Infrastructure as Code and internal tooling that solves common problems once at the platform level

  • Partner with data platform engineers and the wider platform organisation to extend shared foundations for data-intensive, stateful workloads — so the rest of the team can focus on building data capabilities rather than maintaining infrastructure

What are we looking for in you?

  • Experience running Kubernetes in production, particularly for stateful or distributed systems

  • Comfort with Infrastructure as Code, CI/CD tooling and GitOps — you've built automated, repeatable infrastructure workflows before

  • Solid understanding of observability and production reliability — you know how to make systems diagnosable, not just running

  • Experience with cloud infrastructure and building internal tooling or automation that other engineers actually use

  • Experience operating stateful or data-intensive distributed systems — things like streaming engines, distributed databases, or large-scale data processing frameworks

  • A genuine interest in the data infrastructure space — you want to solve the operational and reliability challenges that come with running data systems at scale, not just Kubernetes in general

What you get.

  • 4 days in the office. We're a team that builds together, thinks together, and moves together. Showing up is part of how we work.

  • State of the art equipment. The newest computer, monitor, mouse, and keyboard. We want you to do your best work without anything slowing you down.

  • Pension, health insurance, and enhanced parental leave. From your financial future to your family moments. We've got you covered.

Are you ready to join the journey? Apply now and let's find out more!

While you hold on tight for us to get back to you, curious to see what we’re up to? Follow us on LinkedIn for business announcements and releases 📢, check out our Instagram for an inside scoop on what it’s like to work here .

Depending on the regulations in the country where you will be employed, we will ask to see or obtain information about your criminal record. Please note that our employment is conditional upon you not being registered in RKI (Ribers Kredit Information).

We welcome applications from candidates of all backgrounds. If you need any adjustments during the recruitment process, please let us know

How we rate this

Senior DevOps Engineer (Data) at Lunar rates 14 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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