About this role
Salary: £40,000 - 60,000 per year
Requirements: Proven track record building and maintaining backend systems and cloud microservices; our stack is Python, but strong experience in another language also worksStrong fundamentals in data structures, algorithms and object-oriented programming, applied rather than recitedComfortable with testing frameworks, debugging, refactoring, version control and CI/CD pipelinesWorking understanding of SQL and document databasesAbility to work independently, take business and product ownership, and keep moving when requirements evolveWillingness to work AI-first, using AI daily with curiosity, fast experimentation and ownership of learning quickly Responsibilities: Solve complex problems with software that is reliable, well tested, resilient and observableDevelop, test, deploy and own Python microservices that deliver real business and user valueShape architectural decisions so systems scale without becoming harder to changeLift code quality across the team through reviews and clear, well-documented codeShip outcomes as part of a product team, working closely with engineers and Product ManagersImprove how the team works and influence the direction of its strategy Technologies: AIBackendCI/CDClaude CodeCloudFigmaPythonSQLSnowflakeZapiermicroservicesData WarehouseSupportMarketing More:
We are Zego, an insurance company leading the AI evolution in insurance. We move fast, with AI taking routine work off every team so people can focus on shipping real code and launching custom dashboards in minutes. Our engineering work is AI-assisted, supported by a modern tech stack including Claude Code, Snowflake, Figma and Zapier, and we encourage adopting new tools in days rather than quarters. We operate as a high-performing sports team with a strong sense of ownership, honest feedback and continuous learning. We offer a market-competitive salary, annual performance bonus, share options, private medical insurance for you and your family, pension, generous holiday, and 1,000 a year to spend on getting to the office or learning something new. We work in a hybrid model, with teams based around our central London office and regular company and team gatherings across the UK and Europe.
last updated 36 week of 2026