Backend Engineer

Validio is the agentic data management platform that automates data quality, lineage, and cataloging — so enterprises can finally

trust the data behind their analytics, AI, and reporting. As a Backend Engineer on our Validation Engine team, you build the part

that does the actual work — the engine customers pay us for.

We read from twenty-something source systems, run validators against the data at real volume, and raise incidents the moment

something is wrong. You'll own pieces of it end to end: the protobuf contract, the Rust service behind it, the SQL it generates,

the worker loop that runs it, and the metrics that say it's healthy.

• Debug hard systems problems — dropped watermarks under load, lock contention, query plans that don't scale — and leave the

regression test behind

• Work directly with Customer Success, Solutions Engineering, and Support, and be on the call when the customer describes the

problem

• Real comfort at the systems level: async runtimes, backpressure, memory layout, lock contention, what a query planner is

actually doing

• SQL well beyond SELECT — window functions, query plans, dialect differences, and debugging by reading EXPLAIN rather than

guessing

• The judgment to direct AI tools well — when to lean on them, what they get subtly wrong, how to keep a codebase coherent when

half the diffs aren't yours

Rust for most of the engine — we want a long-running service that holds a lot of state and doesn't surprise us on a Tuesday. Go

for ingress, where the job is mostly IO and protocol translation. Protobuf and gRPC between services, with the proto schema as the

contract. Python for the SDK and IaC tooling. Postgres and Redis for state, Kubernetes and Helm to deploy, GitHub Actions for the

rest. Claude, Gemini, and Codex in daily use — we ship weekly, and we don't pretend AI didn't write what it wrote. You don't need

to have used every warehouse on the list; you do need to be the kind of person who reads the dialect's docs when a ticket lands on

it.

Founded in Sweden in 2019, we're trusted by data-driven enterprises like Nordea, Canva, Truecaller, Traveloka, and Deutsche

Glasfaser. We raised a $30M Series A this year and grew ARR 800% in twelve months as enterprises got serious about making their

data AI-ready. At around 25 people, you'll own initiatives end to end and make the call when you're closest to the problem. We're

strict about testing and documentation, and fast about decisions.