Senior Python Backend Engineer

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