Senior Backend Developer, Data Collection and Infrastructure

Senior Backend Developer, Data Collection and Infrastructure

Time: Full-time

Location: Aarhus

What we are building

Someone researching a purchase might start in ChatGPT, compare options in Perplexity, run a Google search, then go back to an AI assistant to decide. The companies being compared have little idea where they show up in that chain or what gets said about them, and very few can measure it today.

We build the infrastructure that measures it. Every platform we track changes under us, and none of them offers a feed, so we collect the data ourselves. The collection is the hard part, and it is most of this job. Three products run on it:

• AccuRanker is the rank tracking and SEO analytics platform. Rankings, competitor movement, keyword research, dashboards, forecasting.
• AccuLLM tracks brand visibility inside ChatGPT, Perplexity, AI Overview, and AI Mode.
• AccuSERP is a search data API we sell to other companies in the industry.

On a normal day that means 27 billion rows inserted, 85 million web requests collected, 80 million background jobs run, and 64 million analytical queries served. Eight people build and run all of it.

What you will work on

• Scale the collection and ingestion pipeline behind those numbers. Drive down cost and latency per request as volume grows.
• Add new search surfaces as they appear, and keep the ones we already cover working when they change shape.
• Design storage and query paths for very large time series data, across columnar and relational stores.
• Own services end to end, from design through deployment to how they behave in production.

What you bring

Must have :

• Distributed systems fundamentals. Queues, workers, backpressure, etc.
• Comfort in Linux and close to production. Debugging incidents, understanding system behavior, improving observability, making services more reliable.
• Ownership and initiative. You take a problem, you decide how to solve it, and you follow through.

Good to have:

• The network layer in depth. Connection lifecycle, timeouts and retries, TLS, HTTP/2 and HTTP/3.
• ClickHouse or another columnar store at scale.
• AI agents in production. Tool and context design, structured output and evals.
• Kafka.
• Python and its common frameworks (Django, Celery, pandas/polars). Our stack runs mostly on Python, but it is not a must if the fundamentals are strong.
• Data infrastructure at scale. The ingestion, storage, and query-performance problems our numbers imply.

Who does well here

People who set a high standard for their own work, and who care about performance, reliability, cost, and operational simplicity.

You own a feature end to end, from idea to production. You can make progress while the problem is still half defined, and a month after it ships, you are still the one who cares about it.

You move fast when speed is what the problem needs, and you know when stability, safety and maintainability matter more.

This field moves fast right now. We expect you to read, try things, and form your own view of what is worth using, without waiting to be told what is new.

The job is wide. In one week you might tune a database, debug a proxy network, and design an agent.

This role is not for you if you want a roadmap handed to you, a narrow technical scope, or a large team around you. We are small, the problems change, and you will often be the person deciding both what to build and what "done" means.

AI at AccuRanker

AI is a big part of the product and of how we build it. AccuLLM sends queries to LLMs all day, customers use our MCP server, and agents and tool design are real engineering problems here.

Being effective with coding agents is becoming a core engineering skill, and it is part of this job. You should be good at giving agents the right context, breaking work into pieces they can execute well, reviewing what they produce, and knowing when to take over yourself. The bar is more high-quality engineering done without outsourcing your understanding and judgment, which is a different thing from using AI a lot.

How we work

• You own services, not tickets. You decide how to solve the problem, make the tradeoffs, and deploy it yourself.
• We ship many times a day. A change can go from idea to production the same day.
• We argue about designs, in writing and in the room. Correctness, cost, and latency are worth arguing about out loud.
• We share what we know and help each other own unfamiliar parts of the system.

What we offer

• Salary set individually on skills and experience.
• Pension, health insurance, flexible working hours, and paid parental leave.
• Hardware of your choosing.
• Office in central Aarhus on Åboulevarden, top floors, panoramic views over the city. The role is on-site, with hybrid options planned for later this year.

Questions about the role are welcome. Call our CEO, Henrik Jørgensen, on +45 53 53 42 80 .