Meniga builds financial intelligence for the world's leading banks - 100M+ users, 30+ countries. We're not the brand on the app. We're the layer underneath it - the one that makes the data meaningful, the experience personal, and the bank worth opening. Meniga’s offices are in London, Reykjavik and Warsaw.
PRINCIPLE ARCHITECT
Financial intelligence for 100M+ users across the world's leading banks
THE WORK
You own the architecture of the entire Meniga platform - services, data, integrations, deployment model, and the boundaries between them. You report directly to the CTO. You set the direction, you make the hard calls, and you are accountable for whether the architecture holds as the business scales.
This is not a review-and-advise role. You draft the target architecture, you defend it to engineering and to customers, and you stay close enough to the implementation to course-correct early.
The context: Meniga is in the middle of a platform transformation - performance, architecture, and AI, across systems that run inside the world's largest banks. The transformation is real, funded, and already underway. Your job is to shape what comes out the other side - and to make sure what engineering ships today still fits three years from now.
WHAT YOU’LL DO
Own the target architecture - define the platform’s structure, set the boundaries between services, and make the calls that other engineers can build to with confidence
Drive the transformation - on-prem to cloud, MSSQL to PostgreSQL, legacy to platform. You don’t manage the programme - you shape the technical outcome and stay close enough to catch drift early
Write the decisions down - RFCs, ADRs, technical strategy. If the direction only lives in your head, it doesn’t exist yet. You write with the clarity that ends debates
Embed AI into the architecture - not as a feature layer, but as a first-class design concern across services, data pipelines, and the SDLC itself
WHAT WE'RE LOOKING FOR
Architect at scale - you've owned the architecture of a distributed, data-heavy platform in production with serious customers - not just designed one on a whiteboard
Transformation experience - you've moved a real system from one architecture to another without stopping the business, and you can talk honestly about what it cost
Deep in .NET and data - C# / .NET, both MSSQL and PostgreSQL, real experience with on-premises and cloud. You can read any of our code and tell us what's wrong with it
Writes with authority - RFCs, decision records, public technical communication. If you can't write the decision down clearly, it isn't a decision yet
Credible to engineers and to customers - bank architects will sit across from you. So will your own team. Both need to come away trusting the direction
AI-native - you're actively reasoning about where AI changes the architecture - not bolting it on afterward (currently Cursor & Claude Code)
THE STACK
Must have: C# / .NET ·MSSQL ·PostgreSQL ·Azure ·Kafka ·Kubernetes · Helm Charts · distributed systems at scale
Nice to have: RabbitMQ ·Terraform ·GCP ·Python · Fintech or other regulated industry
Most systems are on-premises at client sites and actively migrating toward cloud. You’ll make calls in both worlds.
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