Identity Platform Software Engineer — AI‑Driven & Scalable

Bet365careers; Stoke-on-Trent; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid work from home policy

Job summary

bet365 is seeking a Software Developer to build the future of identity verification, delivering AI-driven solutions for a global platform. You will work in a full-stack environment, contributing to facial recognition and identity systems in a hybrid work setup.

The role involves collaborating with engineers, upholding high-quality standards, and accelerating delivery in an AI-first environment with exposure to next‑generation tools.

Qualifications

• Solid understanding of Kafka, SQL, .NET, Golang, and React (or similar technologies).
• Experience developing scalable systems, preferably in a cloud environment (GCP experience is a plus).
• Competence in creating user-focused front‑end solutions.
• Experience collaborating with teams to deliver technical projects on time and to specification.
• Understanding of large‑scale, highly available systems, including considerations of consistency, reliability, and performance,
• Comfortable participating in on‑call rotations and responding to production issues, including contributing to root cause analysis and postmortems.

Responsibilities

• Developing highly efficient, robust quality code for scalable enterprise level solutions.
• Supporting and enhancing the existing code base.
• Maintaining clean coding practices.
• Identifying technical areas of improvement.
• Supporting product owners.
• Supporting the testing team during testing phases of projects.
• Contributing to solution proposals.
• Creating work effort estimates as required.

Skills

Full-stack collaboration

On-call experience

User-focused frontend

Tools

Kafka

SQL

.NET

Golang

React

GCP

Job description

bet365 is seeking a Software Developer to build the future of identity verification, delivering AI-driven solutions for a global platform. You will work in a full-stack environment, contributing to facial recognition and identity systems in a hybrid work setup.

The role involves collaborating with engineers, upholding high-quality standards, and accelerating delivery in an AI-first environment with exposure to next‑generation tools.