> Markdown version of [/jobs/ext/4712941-backend-engineer](https://www.wearedevelopers.com/jobs/ext/4712941-backend-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Engineer - **Company:** Descrial - **Location:** Epsom, United Kingdom - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Software as a Service, Cloud Computing, Code Review, Continuous Integration, Data as a Services, Data Validation, Cursor, Linux, Spring Framework, Python (Programming Language), PostgreSQL, Open Web Application Security, Query Optimization, Service Design, SQL Databases, SQLAlchemy, Large Language Models, Claude Code, AI Coding Agents, Backend, Rate Limiting, Git, Fastapi, Event Driven Architecture, Pytest, AI Platforms, Integration Tests, Information Technology, Api Management, Jenkins - **Published:** November 14, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/backend-engineer/56428120 ## About the Role Real multi-tenant or enterprise-grade system experience: isolation, permissions, auditability 5+ years of backend engineering in production SaaS or platform environments Strong Python (FastAPI or comparable) and solid SQL/PostgreSQL; ability to work at Java/Spring service boundaries AWS production experience; Git, CI/CD, Linux as second nature You build with AI coding tools daily (Cursor, Claude Code or comparable) and have a considered view of where they help and where they do not Good to have Event-driven architectures, queues, and workflow engines Financial-services or regulated-industry systems Exposure to LLM service integration patterns, Bachelor's degree in engineering, computer science, or a related field, or equivalent experience. ## Description As a Back-End Engineer on the UK core team, you will build the services that the product runs on: multi-tenant APIs, workflow and data services, and the integration layer between the Java/Spring core platform and Python AI services. The work is production engineering for demanding enterprise users - security, auditability, and reliability are features, not chores - shipped through disciplined CI/CD alongside the Bengaluru delivery organisation., Service design and build Design and ship REST and async services in Python 3.11+ / FastAPI and at the boundaries of the Java/Spring core, with PostgreSQL (async SQLAlchemy) persistence Implement multi-tenant patterns properly: isolation, tenant context, role-based access, and per-tenant configuration Own API contracts between core services and AI services; version and evolve them without breaking consumers Write comprehensive unit and integration tests (pytest / pytest-asyncio); hold the line on code review standards Build for observability: OpenTelemetry traces, structured logs, metrics, and actionable alerts - including token cost, model-call latency and failure rates for the AI services you sit alongside Build quality gates for probabilistic outputs: validation, schema enforcement and safe failure behaviour when an AI service returns something well-formed but wrong Handle security fundamentals as routine: authN/authZ, secrets, input validation, OWASP awareness, audit trails Cloud and delivery Deploy and operate services on AWS (EKS/ECS patterns, RDS, S3) through Jenkins CI/CD with quality gates Contribute to performance and cost tuning: query optimisation, caching, async throughput, and right-sizing Support LLM-adjacent workloads: queueing, rate limiting, and cost-aware orchestration of model-calling services