Engineering Manager

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 are looking to hire an Engineering Manager for a sports betting and data collection company based in London.

Key Responsibilities:

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

Requirements:

• Proven experience leading and coaching engineering teams
• Significant hands-on Java Spring and Kafka expertise
• Background in betting/gaming technology
• Cloud-native development experience (AWS preferred; Docker & Kubernetes beneficial)
• Deep understanding of scalable, resilient, and observable production services
• Familiarity with risks of AI-assisted engineering
• Advanced skills in RDBMS (PostgreSQL preferred) and REST APIs
• Experienced with GitLab, JIRA, Confluence, and Agile methodologies
• Track record working with remote teams and fast-paced environments
• Stakeholder management up to C-level
• Excellent communication, planning, and problem-solving abilities

What's on Offer:

• Leadership opportunity in a fast-growing tech environment
• Collaborative and innovative engineering culture