Senior AI-First Software Engineer

Bet365 Company

United States

Hybrid

USD 130,000 - 190,000

Full time

5 days ago
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Job summary

Bet365 Company is seeking a Senior Software Developer to lead AI-driven engineering on our facial recognition and identity platform, delivering scalable, reliable software in a highly regulated world.

You will mentor a small team, own end-to-end delivery from development to live, and drive governance, documentation, and knowledge sharing across cross-functional partners in a hybrid work environment.

Qualifications

  • Proven leadership and delivery experience in dev teams.
  • Experience building scalable cloud systems, preferably on GCP.
  • Proficiency in customer-centric frontend solutions.
  • Exposure to NoSQL datastores.
  • Strong technical documentation skills.
  • Deep understanding of large-scale, service-based systems.
  • Familiarity with on-call rotations and incident response.

Responsibilities

  • Act as escalation point for team during and out of office hours.
  • Lead development of scalable, maintainable, and performant systems.
  • Apply governance around overall solution design and code quality.
  • Ensure solutions meet the needs of the Business.
  • Manage work estimation and production of solution documents.
  • Maintain deep understanding of the technical structure, domain, and architecture.
  • Guide a small team of developers in design and development of solutions.
  • Own technical solutions and hands-on delivery from development to live.
  • Promote knowledge sharing and mentor team members.

Skills

Leadership
Mentorship
Code reviews
Technical documentation
On-call / incident response

Tools

Kafka
SQL
.NET
Golang
React
NoSQL
Cloud (GCP)

Job description

Bet365 Company is seeking a Senior Software Developer to lead AI-driven engineering on our facial recognition and identity platform, delivering scalable, reliable software in a highly regulated world.

You will mentor a small team, own end-to-end delivery from development to live, and drive governance, documentation, and knowledge sharing across cross-functional partners in a hybrid work environment.

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