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Descrial is hiring Backend Engineers to build the services Descrial runs on. The role focuses on multi-tenant data and workflow services, bridging Java/Spring with Python AI services.
You'll work in a small core team in King’s Cross, London, with CI/CD discipline and collaboration with Bengaluru delivery. You will design REST and asynchronous Python services, enforce tenant isolation, access control and configuration, and ensure safe failure and audit trails.
We're hiring Back-End Engineers to build the services Descrial runs on. Investment professionals need APIs and workflows that respect permissions, keep an audit trail and fail safely when an AI result can't be trusted.
You'll build multi-tenant data and workflow services, plus the integration layer between our Java/Spring core and our Python AI services. This role is part of a nine-person engineering cohort being hired across front-end and back-end.
Descrial is a startup inside a twenty-year-old company
TresVista has run the analytical work behind private capital since 2006. 2,000 people, 400+ clients including some of the biggest names in the industry, no outside capital and no outside board. That was the first chapter. And we enjoyed getting here!
We are moving from services to software, from one firm's workflows to an industry's, and from executing investment decisions to shaping how they get made. Thirty of us in King's Cross, small and senior, with day one founder intensity. At its fullest expression, Descrial changes how every serious investment firm decides.
You report to the Head of Engineering and join the UK core team, shipping through disciplined CI/CD alongside the Bengaluru delivery organisation. The work combines service design with the production constraints of demanding enterprise users.
You design REST and asynchronous services in Python 3.11+ and FastAPI, working at Java/Spring boundaries with PostgreSQL and async SQLAlchemy persistence. You implement tenant isolation, context, role-based access and configuration. You version and evolve contracts between core and AI services without breaking consumers.
You maintain comprehensive unit and integration tests with pytest and pytest-asyncio and uphold code review standards. OpenTelemetry traces, structured logs, metrics and actionable alerts expose model-call latency, failure rates and token cost. You build validation, schema enforcement and safe failure behaviour for outputs that may be well-formed yet wrong. Authentication, authorisation, secrets, input validation, OWASP awareness and audit trails are part of everyday engineering.
You deploy and operate on AWS using EKS/ECS patterns, RDS and S3 through Jenkins quality gates. You improve queries, caching, asynchronous throughput and right-sizing. For model-calling services, you build queueing, rate limits and orchestration that account for cost.
This will be difficult. It demands pace and accuracy. We are building autonomous systems inside high-stakes live businesses, where decisions carry real consequences and impact and waiting for everyone to agree is not always an option.
Come ready to discuss three pieces of work:
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