IT & Software

Lead Backend Engineer

ZEGO

London · Greater London · United Kingdom

Overview

As Lead Backend Engineer at Zego, you will shape a climate-friendly, scalable insurance platform by guiding a team of engineers and owning Python microservices. You’ll influence backend architecture, champion reliability and observability, and collaborate cross-functionally to accelerate value for drivers. You’ll drive large technical initiatives and mentor others while exploring AI-enabled improvements. This role offers hands-on leadership in a fast-growing, hybrid-work environment with a mission to deliver the lowest priced insurance for good drivers.

Pay / Benefits
  • market-competitive salary
  • private medical insurance
  • company share options
  • generous holiday allowance
  • wellbeing benefits
  • annual flexible hybrid working contribution
Responsibilities
  • Lead multiple engineers within a team or workstream to deliver user and business value
  • Design, build and own Python microservices powering the insurance platform with security, observability, and scale in mind
  • Shape backend architecture through cross-team discussions and decisions
  • Promote engineering excellence: testing, reliability, scalability, and clean code
  • Collaborate with product managers, designers and data analysts to rapidly deliver value
  • Coordinate large, complex technical initiatives with clarity and impact
  • Mentor engineers with feedback and context to raise the bar
  • Identify root causes of problems and implement pragmatic, autonomous fixes
  • Improve team workflows, CI/CD pipelines, incident response, and related processes
  • Stay curious about AI to enhance productivity and insight
Key requirements
  • Backend engineer with hands-on experience building cloud-native microservices (Python preferred)
  • Strong fundamentals in data structures, algorithms, and system design
  • Experience building systems at scale with distributed architectures, performance tuning, and observability
  • Leadership by example: mentoring, clear communication, collaborative mindset
  • Calm, pragmatic approach to solving ambiguous technical challenges and balancing speed with simplicity
  • Proactive, initiative-taking mindset with stakeholder engagement beyond engineering
  • Ability to explain technical decisions to non-technical stakeholders
  • Judgement to choose appropriate approaches to problems
  • Interest in shaping a product impacting thousands of drivers daily
  • Curiosity about applying AI tools to improve productivity and workflows
  • mentoring
  • clear communication
  • collaboration
  • Python
  • microservices
  • cloud-native architectures

Reference: WJ-747_30173017

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