Engineering Manager - Lead Scalable Betting Platform

BettingJobs; Greater London; On-site; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Leadership opportunity

Innovative engineering culture

Job summary

BettingJobs in London is seeking an Engineering Manager to lead a multidisciplinary engineering team building scalable sports betting and data platforms. You will set priorities, translate strategy into actionable plans, and drive delivery with accountability.

The role requires hands-on Java Spring and Kafka expertise, cloud-native development (AWS), and strong focus on reliability, observability, and AI-enabled tooling.

Qualifications

• Experience leading engineering teams across multiple disciplines.
• Hands-on Java Spring and Kafka expertise.
• Experience with cloud-native development and observable production services.

Responsibilities

• Lead, coach, and develop a multidisciplinary engineering team.
• Set priorities, drive delivery, and foster an accountable culture.
• Translate technical and product strategy into actionable plans.
• Champion scalability, performance, resilience, deployability, and integration.
• Collaborate with product, operations, and leadership to deliver platform solutions.
• Guide architectural decisions and resolve complex technical issues.
• Drive responsible adoption of AI-enabled engineering tools and practices.
• Ensure quality through testing and documentation.
• Promote smart innovation and continuous improvement.
• Maintain strong communication with stakeholders and partners.

Skills

Leadership & coaching

Stakeholder management

Communication

Agile methodologies

Strategic planning

Problem-solving

Tools

GitLab

JIRA

Confluence

Docker

Kubernetes

AWS

REST APIs

PostgreSQL

Job description

BettingJobs in London is seeking an Engineering Manager to lead a multidisciplinary engineering team building scalable sports betting and data platforms. You will set priorities, translate strategy into actionable plans, and drive delivery with accountability.

The role requires hands-on Java Spring and Kafka expertise, cloud-native development (AWS), and strong focus on reliability, observability, and AI-enabled tooling.