Back End Tech Lead - Funnel Platform
$90,000–$120,000 year
HybridLondon, England, United Kingdom
Job Summary
Lead the evolution of shared code, frameworks, and integrations powering iwoca's services, including external data providers like Experian and Equifax. Drive technical strategy for the Platform team, translating long-term vision into robust, maintainable systems while acting as a hands-on contributor in quality, testing, and performance. Manage and mentor a team of developers, defining engineering best practices and resolving conflicts between maintenance and delivery teams. Own the health of shared services used by other engineering groups, reviewing contributions from consuming teams and shaping architectural improvements focused on developer experience and reliability. Collaborate with commercial funnel teams to build a shared roadmap without a dedicated product manager, using data to back problem-solving and drive delivery.
Required Qualifications
- Experience developing and owning shared back end services that other engineering teams contribute to and depend on - being the trusted reviewer for their contributions and shaping how they build on top of your work.
- Experience building and shaping distributed systems in complex business domains.
- Advanced proficiency in software development.
- Confidence to work closely with partners from other disciplines to challenge assumptions and discover underlying problems.
- Demonstrable leadership skills: you have mentored juniors and inspired teams to deliver cross-functional projects. You can balance hands-on coding with strategic planning.
- You use AI (like Cursor, Claude Code or similar) in your daily flow—whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making.
Desired Qualifications
- A strong numerical or technical background, ideally with a degree in physics, engineering, maths, computer science or a related field.
- Experience with Python, Django, or PostgreSQL.
- Familiarity with data analytics or machine learning processes.
- Experience with complex data architectures, including event-sourced data models.
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