Backend Cloud Engineer

We are building a massively scalable cloud infrastructure designed for data integration and complex digital twins, utilizing cutting-edge graph theory and physics-based modeling., We are looking for an engineer to lead the development of our backend services and Agentic Framework. We don't just "plug tools into an LLM"; we are architecting autonomous systems. While our current stack is Python-based, we value engineers who understand architectural concepts (Async I/O, Distributed Systems, Graph Theory) over specific syntax. If you are a skilled engineer from a different language background (Go, Rust, C++) with the right mindset, we want to hear from you., * Agentic Architecture: Design and maintain our agentic framework (currently using LangGraph). You will move beyond simple prompt engineering to build orchestrators that manage state, context, and complex reasoning loops.

• Core Service Development: Maintain and expand high-performance REST APIs and calculation engines ensuring clean installation, testing, and modularity.
• Scalable Cloud Infrastructure: Manage a hybrid architecture of containerized services (e.g. ECS/Fargate) and serverless components (e.g. AWS Lambda), ensuring seamless deployments via IaC.
• Data & Geospatial Engineering: Optimize complex data flows involving PostgreSQL/PostGIS for vector tiles and geospatial features, alongside Redis for caching and session management.
• DevOps & Quality: Enforce rigorous CI/CD standards, automated testing (unit/integration), and observability (logging/metrics) to ensure production reliability.

Do you have experience in AWS?, Do you have a Master's degree?, Note: Due to the complexity of the domain, there is a strong preference for candidates with a degree in Mathematics or Physics., * Experience building agent architectures from scratch (orchestration, memory management, tool usage), not just consuming APIs.

• Familiarity with streaming responses and handling LLM integration complexities.
• Bonus: Experience with LangGraph or similar orchestration tools.

2. Modern Backend Engineering (Language Agnostic)

• Strong grasp of Asynchronous I/O and concurrency patterns.
• Experience designing RESTful APIs with dependency injection and robust middleware (Auth/Validation).
• Familiarity with modern packaging and dependency management (e.g., Poetry, Docker multi-stage builds).

3. Database & Mathematics

• Deep understanding of Relational Databases (PostgreSQL) including migrations and schema management.
• Comfortable with Geospatial data (GIS, Vector Tiles) and Graph Theory concepts.
• Ability to implement physics-based calculations and complex analytics pipelines.

4. Cloud Native Operations (AWS/Azure/GCP)

• Experience with Container Orchestration (Docker, ECS, or Kubernetes).
• Familiarity with Serverless architectures (Lambda, API Gateway) and event-driven patterns.
• Knowledge of Infrastructure as Code (SAM, Terraform, or CloudFormation) for managing resources like DynamoDB and S3.

The Tech Stack (FYI)

• Language: Python 3.11+ (Async).
• Frameworks: FastAPI, LangGraph, SQLAlchemy (Async), Pydantic.
• Infrastructure: AWS (ECS Fargate, Lambda, Cognito, RDS, ElastiCache) - Azure/GCP a plus as well.
• Data: PostgreSQL (PostGIS), Redis, S3.
• Tooling: Poetry, Docker, GitHub Actions, Ruff, Make., * AWS Infrastructure: 5 years (preferred)

Job Types: Full-time, Permanent

Pay: £45,000.00-£65,000.00 per year

Benefits:

• Company pension
• Employee stock ownership plan
• Flexitime
• Health & wellbeing programme
• Sick pay
• Work from home