Engineering Lead - Sports Platform

New
M
MidniteSports betting
Location: United Kingdom; Workplace: RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Experience
Significant backend engineering experience, including time operating at senior or lead level.
Required Skills
AWSPythonCI/CD

Requirements

  • Significant backend engineering experience, including time operating at senior or lead level.
  • Deep backend expertise and a full-stack, systems-thinking mindset across clients, APIs, services, data, infrastructure and operations.
  • Strong Python skills, or experience with another modern backend language and willingness to learn Python.
  • Experience setting technical direction and designing, delivering and operating reliable systems.
  • Experience formally managing engineers, or strong evidence of readiness to own one-to-ones, feedback, performance and development for a team of three to four.
  • Ability to challenge assumptions constructively and help Product and Design find simpler or more effective solutions.
  • Ability to break ambiguous, complex work into simple, safe deliverables.
  • Solid database and production-engineering fundamentals, including AWS, CI/CD and observability.

Responsibilities

  • Set pragmatic technical direction and lead system design across clients, APIs, services, data, infrastructure and integrations.
  • Create pull requests, write production code and release features while contributing technical designs, investigations and reviews.
  • Work with Product and Design to turn ambiguous opportunities into clear milestones, small deliverables and frequent releases.
  • Manage three to four engineers through expectations, one-to-ones, feedback, performance management and development support.
  • Coach engineers through design discussions, reviews, pairing, debugging and production incidents.
  • Champion effective testing, observability, safe releases and production feedback loops.
  • Make technical trade-offs, keep risks visible and help improve systems following production problems.
  • Use AI responsibly and contribute to hiring, onboarding and shared engineering practices.
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