What you'll do

• Lead the design, development, and maintenance of high-quality software, owning solutions from architecture through to deployment
• Build scalable systems using AWS, Python, MongoDB, and other modern technologies
• Embed security best practices across the full software development lifecycle
• Own and improve our CI/CD pipelines to keep deployments fast, reliable, and repeatable
• Apply site reliability engineering principles to strengthen system performance and resilience
• Partner with product management to translate business requirements into elegant technical solutions
• Design clean, consistent RESTful APIs
• Provide technical support and lead incident investigations
• Champion Scrum and drive continuous improvement in how the team works
• Foster a collaborative, learning-oriented environment where engineers grow
• In addition to backend work, you may also be required to support tasks on the frontend — we value engineers who enjoy working across the stack
• Adopt AI tools to assist and accelerate your work

Duties may evolve, and you may be asked to take on other reasonable responsibilities within your competence as we grow.

Your Experience

• Significant industry experience building production software
• Deep Python expertise, with clean, logical, self-explanatory code
• Proven experience building production APIs with FastAPI (or similar async Python frameworks)
• Hands-on experience deploying AWS infrastructure as code (IaC)
• Degree-level qualification in computer science or a related field
• Experience with DevOps and MLOps 
• Solid grasp of software design patterns, SOLID and DRY principles, and architectural patterns
• Confidence with Git/GitHub, Docker and containerisation, Linux, bash, and the command line
• Command of the testing pyramid and automated testing types (unit, component, smoke, performance, load, end-to-end)
• Familiarity with modern statistical ML and AI tooling, including NumPy, SciPy, and Pandas
• A track record of collaborating in a fast-paced agile team, ideally using Scrum

Nice to have

• A Master's-level qualification in a STEM field
• Frontend experience: HTML, CSS, React, JavaScript/TypeScript
• An eye for UI/UX design principles
• Experience with PyTorch or other deep-learning libraries
• An understanding of Bayesian statistics