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# Backend Engineer, Core Systems

- **Company:** Midjourney Inc
- **Location:** London, UK
- **Salary:** £175,000.0 - £200,000.0
- **Contract:** Permanent contract
- **Skills:** Midjourney, Application Programming Interfaces (APIs), Artificial Intelligence, Data Stores, Software Debugging, PostgreSQL, Ansible, Software Engineering, Backend, Build Tools, Slurm
- **Published:** July 26, 2026
- **Apply:** https://uk.indeed.com/viewjob?jk=69501a0bffc4e598

## About the Role

* You're comfortable designing APIs, modeling data, and working across services rather than inside a single layer.
 * You think about failure modes before they happen and build systems that behave well under load.
 * You're comfortable owning production, including debugging, observability, and operational tooling.
 * You enjoy making complex systems simpler.
 * AI tools are part of your development workflow, and you're always looking for better ways to build software.
 * You communicate clearly and work well with engineers across different disciplines.
 * You care about the people around you as much as the code. Great engineering teams make each other better., * Experience operating Postgres or similarly load-bearing data stores at scale, including schema evolution under live traffic.
 * Experience with high-throughput async job systems (queues, schedulers, workers).
 * Background designing the seam between a product backend and an ML inference platform.
 * Familiarity with HPC and fleet orchestration concepts (Slurm, Ansible, multi-region operations).

## Description

* Design, build, and operate the backend systems that power Midjourney.
 * Own meaningful parts of the platform from schema to service to deployment and production health.
 * Build the tooling and observability that help the team understand production systems before something breaks.
 * Respond to production issues and turn each one into a lasting improvement.
 * Simplify systems as they grow by reducing complexity and building abstractions that stand the test of time.
 * Partner closely with inference, infrastructure, and product engineers as the platform evolves.
 * Ship code that reaches production quickly.


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