Senior Python Backend Engineer
Summary
Build and maintain Python-based RESTful APIs and backend services in Azure, using FastAPI, Pydantic, and Pytest for a custom case management system.
We are looking for a Senior Backend Engineer to join the team. In this role, you will contribute to the development and maintenance of custom-built case management applications used by internal stakeholders. These applications are fully developed and maintained in-house and operate entirely within the Azure cloud environment.
You will work within the Back-End chapter as part of a larger multidisciplinary Scrum team consisting of both Backend and Frontend engineers. Although the team is relatively large, work is organised in smaller sub-teams on a quarterly basis to ensure focus, ownership, and effective collaboration.
Responsibilities
- Design, develop, and maintain scalable backend services and RESTful APIs
- Define and maintain clear API contracts and specifications
- Build integration components and backend services using Python
- Work with frameworks and tooling such as FastAPI, Pydantic, and Pytest
- Design and maintain database schemas aligned with application requirements
- Write efficient and scalable database queries
- Deploy, configure, and operate services within Azure cloud environments
- Participate actively in Scrum ceremonies, refinements, and user story discussions
- Contribute to code reviews with a coaching and constructive mindset
- Collaborate closely with engineers, stakeholders, and other chapters to deliver valuable solutions
What We're Looking For
- Strong experience with Python backend development
- Experience designing and developing RESTful APIs
- Hands-on experience with FastAPI, Pydantic, and Pytest
- Solid understanding of backend architecture and integration patterns
Data & Persistence
- Experience designing and maintaining database schemas
- Ability to write efficient and scalable complex queries
- Experience with Azure or other cloud platforms
- Understanding of deploying and operating backend services in cloud environments
Nice to Have - AI-Assisted Development
Experience with AI-assisted development tools and structured AI workflows is considered a strong plus. This includes:
- Working with tools such as GitHub Copilot
- Creating reusable prompts, templates, and repository-level AI instructions
- Embedding team standards and architectural decisions into AI-assisted workflows
- Critically evaluating AI-generated output for quality, maintainability, and security
- Helping scale structured AI usage across engineering teams