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# Senior Software Engineer

- **Company:** SR2
- **Location:** Greater London, UK
- **Experience:** Expert
- **Salary:** £120,000.0 - £180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Application Layers, Extract Transform Load (ETL), Distributed Systems, Django Web Framework, Python (Programming Language), Systems Integration, Reliability of Systems, Backend, Fastapi
- **Published:** September 8, 2026
- **Apply:** https://www.collegerecruiter.com/job/2840575322-senior-software-engineer

## About the Role

* Strong backend engineering experience, ideally in Python
 * Experience building platform or infrastructure systems, not just application layers
 * Solid understanding of system design, distributed systems, and scalable architecture
 * Experience working in fast-paced or early-stage environments
 * Comfort with ambiguity and a tendency to take ownership rather than wait for direction
 * Product awareness, you understand how backend decisions impact real users

This is not a role for someone who wants neatly defined tickets and clear boundaries. You'll be working in the messy middle, where systems, product, and real-world constraints collide. For the right person, it's the kind of role that sharpens how you think about software, not only how you write it.

## Description

This is a backend-heavy position with a strong focus on platform and infrastructure. You'll be designing and building the scaffolding that supports agentic workflows, data movement, and system reliability at scale.

 * Own and build core backend systems in Python, with a focus on structure, typing, and maintainability
 * Design platform components that support orchestration, workflows, and system reliability
 * Define data models, schemas, and internal abstractions that scale with product complexity
 * Build APIs and internal tooling that enable fast, safe iteration across the product
 * Contribute to architectural decisions that shape how the entire system evolves
 * Work closely with product and end users to ensure systems solve real problems, not theoretical ones, * Developing backend services using Python, likely with frameworks such as FastAPI or Django
 * Designing systems that handle real-world edge cases, failures, and scale constraints
 * Building infrastructure that supports evaluation, observability, and control of AI-driven workflows
 * Integrating external services and data sources into a cohesive, reliable platform
 * Improving performance, resilience, and clarity across the backend stack
 * Taking ownership of problems from early idea through to production


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