Every Alan product, in every country, runs on the same backend: events, queues, cache, data shared between components, transactions. More than 200 engineers build on it every day. It carries more than 1 million members today. It must carry 10 million, in more countries, with more regulated health data.
You would join Backend Platform, a new team in our engineering organisation. Our job is to rethink the backend of a fully grown company, while it keeps running. Today almost everything runs in one Python monolith on one database. We are moving it towards big services that scale on their own, one pilot at a time. We build the tools that make this possible, and we set the rules for how Alan builds backends.
This is a rare kind of project. The codebase serves real members and customers every day, and we have the mandate to change how it is built. What we decide now will shape how hundreds of engineers work for years. You will learn a lot, and your work will have a real impact.
The team is small and growing: 3 engineers today, 6 next year. Its mission:
Own the backend building blocks every Alan product depends on, and make them simple enough that product teams use them without needing us.
Your scope
- The events pipeline. How our components and services talk to each other asynchronously: a Postgres outbox, Redis Streams, an S3 archive. It is in production for about 20 components. You make it a product that teams use on their own.
- Data replication between services. A service publishes read-only tables. Other services keep a local, fresh copy and join on it. This replaces slow joins across components.
- Towards big services. The tools to take capabilities out of the monolith: a service template, APIs between services, traces across services, dependency management. We start with a pilot and turn it into a playbook.
- The shared runtime. Queues, cache, the transaction layer. Their limits, their SLOs, their headroom.
- The backend direction. The rules for how we build backends at Alan, written with the other engineering teams.
🛠️ The stack
Python, Flask, SQLAlchemy, PostgreSQL, Redis, RQ, Datadog, all in a monorepo. New services are async-first. We deploy daily and believe in distributed ownership: you build it, you own it. You don't need prior Python experience.
⭐ Is it you we're looking for?