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Duna

(Senior/Staff) Platform Engineer

Duna is hiring a (Senior/Staff) Platform Engineer for a remote role open to applicants in Netherlands. Level rates it ; you can apply on Duna.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include OpenAI, Anthropic and AWS.
  • Level lists 12 other open roles at Duna.
  • The role was posted within the past week.

AI in this role

Own and evolve cloud platform infrastructure while helping engineering teams safely run AI agents and automation tools.

OpenAIAnthropicAWSKubernetesTerraformPostgresRabbitmqNode.jsTypeScript
ai-agentsplatform-engineeringdevopsinfrastructuresrecloud-computing

At Duna, we see the company as the second product we're building and are continually working to create a transparent, ambitious culture. We want this to be the place where you do your best work.

Our mission is to redefine identity for the global economy. We're backed by world-class investors including CapitalG and Index Ventures, as well as founders and executives from companies like Stripe, Adyen, Notion, Remote, Qonto, Framer, Anthropic, Mollie, OpenAI and Goldman Sachs.

Duna's infrastructure is part of the product. Enterprise customers buy our reliability, security posture and auditability, not just our features.

WHAT YOU'LL BE DOING IN THIS ROLE

  • Own and evolve our cloud platform: AWS, Kubernetes, networking, Terraform, CI/CD and observability

  • Shape how our engineers build and ship, from local setups and preview environments to deploys, so the safe path is also the fast one

  • Lead incidents calmly, find the root cause and make sure the fix holds

  • Turn recurring manual work into automation and self-service tools that engineers actually use

  • Help the team run AI agents in engineering safely, with the sandboxes and guardrails that make it possible

WHAT WE'RE LOOKING FOR

  • Senior experience as a platform, DevOps, site reliability, infrastructure or cloud engineer. The title matters less than what you have built and run

  • Depth in cloud infrastructure: Kubernetes, networking and infrastructure as code in production

  • Experience improving developer experience is a strong plus, and an interest in security or observability is a welcome extra

  • Time at a startup or scale-up, where you owned problems from start to finish

  • Confidence to make calls, explain them clearly and push back when something looks wrong

  • Curiosity across clouds and tools. We care more about how quickly you learn than which provider you know best

  • Experience in regulated environments such as fintech, payments or identity is a plus

Our platform runs on AWS and Kubernetes with Terraform, Postgres and RabbitMQ, alongside a Node.js and TypeScript product stack built on event sourcing. You will not have used all of it before. We care more about the depth you bring and how you pick up the rest.

A final note before you apply: please read through our website in detail. You'll find the fundamentals there: what we believe in, how we work, and why we're building this company.

We're a remote-first, fast-moving team of builders looking for exceptional people who love to create, build, and ship. Beyond passion and grit, we highly value curiosity, authenticity and kindness.

If this sounds like you, we'd love to hear from you!

PS. We are looking to hire passionate people from a variety of backgrounds. So even if you don't check all the boxes, we welcome your application!

How we rate this

(Senior/Staff) Platform Engineer at Duna rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsPlatform EngineeringDevOpsInfrastructureSreCloud ComputingOpenAIAnthropic

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where platform engineering was part of your work. What did you do?
  3. Tell me about a project where devops was part of your work. What did you do?
  4. Tell me about a project where infrastructure was part of your work. What did you do?
  5. Tell me about a project where sre was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Platform Engineering, DevOps, Infrastructure, and Sre. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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