Software Engineering Intern

Join our 2027 Year-Long Internship Program!

• Deliver small, well-defined tickets with support, flagging blockers early and asking for help when stuck
• Write working, readable TypeScript and/ or C#.NET code, following established team patterns and coding standards with guidance
• Write unit tests for your own changes, with guidance on what to cover
• Participate constructively in code reviews, implementing or responding to feedback from peers
• Follow established Git workflows: feature branches, clear commit messages, focused PRs
• Be aware of secure coding basics (no hardcoded credentials, input validation, etc.) and apply them, including when raised in code review
• Understand and work within existing SQL Server/PostgreSQL database schemas without making structural changes, and write straightforward queries against them
• Be aware of how the platform is hosted and deployed on Azure and Kubernetes
• Build an understanding of the insurance policy lifecycle (quote, take up, cancellation, renewal) over the course of the placement
• Contribute to legacy code maintenance through small, supervised fixes while building familiarity with system architecture and business logic
• Set up and work effectively in the local development environment, and become familiar with the Ignite codebase
• Attend and contribute to sprint ceremonies, communicating progress and blockers clearly
• Follow documented development processes and escalate when unclear
• Actively seek feedback and act on it consistently, including through regular check-ins with your mentor and Tech Lead
• Present or demo a piece of completed work to the team

You do not need experience of our specific stack; you will learn it on the job. You should already be able to program in at least one language, understand object-oriented programming, and have basic SQL and Git knowledge.

• Languages: TypeScript, C#.NET
• Frontend: Vue, Nuxt
• Databases: SQL Server, PostgreSQL
• Cloud & Infra: Azure, Kubernetes
• CI/CD: GitHub Actions
• Tooling: Linear, Git/GitHub, Copilot, Notion, Claude

Further development, not entry requirements

• Begin taking ownership of small tickets end-to-end without close supervision
• Contribute meaningfully to code reviews rather than just receiving feedback
• Understand how the database schema supports a feature, and begin writing more involved SQL queries
• Deepen understanding of the Customer Portal and/or Ignite platform architecture

At this level, interns are expected to use AI-assisted development responsibly, with a working awareness of the wider AI tooling landscape:

• Use AI coding assistants (e.g. GitHub Copilot, Claude) day-to-day for code completion and boilerplate reduction
• Understand, and be able to explain, any code you submit, including AI generated code
• Be aware of what a coding harness is - a structured prompt or scaffolding that guides an AI to produce consistent, testable code
• Be aware of what AI agents are and how they differ from simple prompt/response interactions
• Be aware of the concept of skills as discrete, reusable AI capabilities
• Be aware of MCP (Model Context Protocol) as a way of giving AI agents access to tools and context
• Not expected to build or configure AI tooling, but curiosity and experimentation are encouraged