Platform Engineer (AI-First)

Bloom ApS; Aarhus; On-site; DKK 850,000 - 1,100,000; Full time

Job summary

Aleta, headquartered in Aarhus, is seeking an AI-First Platform Engineer to keep the WealthTech platform running at scale. You'll own incident response, ingestion pipelines, and the reliability of complex data flows.

Working with the founders and the technical lead, you’ll shape architecture, review agent outputs, and ensure data integrity from banks and custodians every night.

Qualifications

• Production ownership and on-call experience.
• Solid Linux, networking, deployment and database fundamentals.
• SQL and data modelling proficiency.
• Strong TypeScript; Rust welcome.
• AI-focused engineering mindset and critical thinking.

Responsibilities

• Keep it running: answer what happened at 03:14 from logs, metrics and traces.
• Own the ingestion chain: bank files, custodian feeds, formats that change unexpectedly.
• Review what the agents ship: read code and guard against plausible but wrong outputs.
• Notice when a number looks off: identify quiet, incorrect figures and prove the data is right.

Skills

Linux

Networking

Deployment

Databases

SQL

Data modelling

TypeScript

Rust

Code review

Tools

PostgreSQL (Postgres)

Neon

WorkOS

Job description

Would you enjoy keeping the WealthTech platform behind DKK 100 billion in assets running? - then this might be the role for you!

On behalf of our client Aleta, we are looking for a technically ambitious and AI-First Platform Engineer to keep the platform running.

The company Aleta is a wealth intelligence platform headquartered in central Aarhus for family offices and their advisors. They consolidate data across banks, custodians, asset classes and entity structures, and turn it into reporting that owners use. They have an established business, strong revenue growth and offices in Aarhus, New York and Bangkok.

Most of their code is now written by AI agents. That hasn't removed the engineering work — it has moved it. Knowing whether the service is correct, and keeping it alive at three in the morning, is not. That second part is this job.

About the platform

Rebuilt from scratch with TypeScript and Next.js on the application layer, Rust for the calculation engine, Postgres on Neon, WorkOS for auth, fully serverless. No legacy systems to work around.

Every night it ingests data from banks and custodians, runs the calculations, and produces reports that have to be right by morning. When that chain breaks, someone has to find out why — quickly.

What you'll do

• Keep it running: You're the person who can answer "what happened at 03:14?" from logs, metrics and traces — and who makes the answer easier to find next time.
• Own the ingestion chain: Bank files, custodian feeds, the formats that change without warning. Most of what goes wrong, goes wrong here first.
• Review what the agents ship: You read code faster than you write it, and you're constructively suspicious of output that looks plausible. Catching the subtly wrong matters more here than writing the elegantly right.
• Notice when a number looks off: Aletas systems rarely fail with a stack trace. They deliver a quiet, incorrect figure. Wanting to know whether the data is actually right is a core skill, not a nice-to-have.

You'll work alongside the founders and the technical lead. On architecture you help shape it, but don't have to own alone.

Who are you?

We care more about what you've learned and what you've owned than the number of years on your CV.

The important checks are:

• You've 'owned' something in production, not just built it. You've been on call, or you've been the person people called.
• Solid ground beneath the application layer: Linux, networking, deployment, databases. You debug downwards, not only sideways.
• SQL and data modelling at a level where you can tell a query is 'wrong', not just slow
• Strong in TypeScript. Rust is welcome, not required
• AI is already your primary engineering method, and you have opinions about where it fails
• Based in or near Aarhus. This role sits with the people who hold the domain knowledge

More about how they work at Aleta

AI-first isn't a slogan here

It's how the whole company runs. Every task is a written goal with an explicit definition of done, and the rules are files in the repo, not aspirations.

Deliberately small

A few exceptional people with real ownership, rather than a large team with diluted responsibility.

Direct and honest

At Aleta, they argue about the work, openly and without politics — including with the founders.

What Aleta offers

You'll have direct access to the people making product and technical decisions, and you'll see the impact of your work immediately. With a small team comes real ownership, short feedback loops, and the opportunity to influence both the platform and how engineering is done.