Engineering Manager

Jobtailor

Greater London

On-site

GBP 90,000 - 150,000

Full time

14 days+

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Job summary

Jobtailor is seeking a senior engineering leader to head a growing, multidisciplinary team in London. You will report to the CTO, translating strategy into clear priorities and driving reliable delivery across engineering, testing and operations.

You will combine hands-on technical credibility with strong coaching, stakeholder engagement and a focus on scalable, observable production services in a dynamic, fast-paced environment.

Qualifications

  • Strong track record of coaching engineers, managing performance and building effective teams.
  • Experience in betting or gaming industry.
  • Hands-on with Java Spring and Kafka.
  • Experience with cloud-native development; AWS, Docker and Kubernetes.
  • Knowledge of scalable, resilient production services and observability.
  • Understanding AI-assisted engineering risks including security and privacy.
  • Experience with REST APIs and RDBMS technologies (PostgreSQL).
  • Proficient in GitLab, Jira and Confluence; agile methods.
  • Strong communication and stakeholder engagement; ability to work with C-level.
  • Ability to lead remote teams and fast-paced environments.

Responsibilities

  • Lead a growing multidisciplinary team of engineers, testers and infra specialists.
  • Report to CTO and drive team performance, development and delivery.
  • Translate technical and product strategy into priorities and reliable outcomes.
  • Provide technical direction, resolve complex problems and influence architecture.
  • Ensure platform scalability, performance, resilience and deployability.
  • Foster inclusive, accountable engineering culture and long-term growth.
  • Collaborate with product, operations, leadership and partners.
  • Improve testing quality, observability and operational support.
  • Drive delivery predictability and engineering process improvements.
  • Maintain up‑to‑date technical and use-case documentation.

Skills

Team leadership
Java Spring
Kafka
Cloud-native development
AWS
Docker
Kubernetes
REST APIs
GitLab
JIRA
Confluence
Agile methodologies
Coaching
Stakeholder engagement
Communication
Problem-solving
Attention to detail
AI-assisted engineering
Security & data privacy
PostgreSQL

Tools

GitLab
JIRA
Confluence
PostgreSQL

Job description

  • Lead a small but growing multidisciplinary team of engineers, testers and infrastructure specialists
  • Report to the CTO and take responsibility for team performance, development and delivery
  • Translate technical and product strategy into clear priorities, engineering decisions and reliable outcomes
  • Provide technical direction, resolve complex problems and contribute to architectural and technology decisions
  • Ensure the platform is designed, built, delivered and operated for scalability, performance, resilience, deployability and integration
  • Build an inclusive, accountable and high-performing engineering culture
  • Ensure solutions support long-term growth and company strategy
  • Enable delivery of partner- and operations-focused solutions
  • Foster accountability for testing quality and improve testing frequency, effectiveness and efficiency
  • Use delivery and operational data to identify constraints and improve engineering processes
  • Maintain up-to-date technical and use-case documentation
  • Lead structured experimentation with AI-assisted engineering tools and establish guardrails
  • Collaborate with product, operations, senior leadership and external partners
  • Improve delivery predictability, architecture, testing, observability, documentation and operational support
Requirements
  • Strong track record of coaching engineers, managing performance and building effective teams
  • Significant experience working in the betting or gaming industry
  • Strong hands‑on experience with Java Spring and Kafka
  • Experience with cloud‑native development; AWS, Docker and Kubernetes ideally
  • Knowledge of engineering practices for scalable, resilient and observable production services
  • Understanding of risks associated with AI‑assisted engineering, including security, data privacy, intellectual property, accuracy, maintainability and over‑reliance on generated output
  • Comfortable with RDBMS technologies, preferably PostgreSQL
  • Experience with REST APIs
  • In‑depth knowledge of software version control systems, preferably GitLab
  • Extensive experience with JIRA, Confluence and similar tools
  • Demonstrable experience of Agile methodologies
  • Experience working with technical teams across remote locations
  • Ability to work in a dynamic, fast‑paced environment and quickly learn new skill sets
  • Confidence engaging partners and key stakeholders up to C‑level
  • Attention to detail and problem‑solving ability
  • Excellent verbal and written communication skills
  • Strong technical credibility, with willingness to work directly with code and systems when valuable
Core Competencies

Demonstrates strong leadership in managing multidisciplinary engineering teams, with a focus on performance, scalability, and resilience in software delivery. Proficient in cloud‑native development and AI‑assisted engineering practices, ensuring alignment with company strategy and operational excellence.

Highest‑signal resume keywords
  • Team Leadership
  • Java Spring Development
  • Cloud‑Native Development
  • Agile Methodologies
  • Betting or Gaming Industry Experience
ATS Optimization Keywords
Hard Skills
  • Java Spring
  • Kafka
  • Cloud‑Native Development
  • RDBMS Technologies
  • REST APIs
  • Software Version Control (GitLab)
  • Agile Methodologies
  • AI‑Assisted Engineering
  • Testing Quality Improvement
  • Scalable Production Services
Soft Skills
  • Coaching
  • Problem‑Solving
  • Attention to Detail
  • Communication Skills
  • Stakeholder Engagement
Industry Keywords
  • Betting Industry
  • Gaming Industry
  • Engineering Practices
  • Operational Support
  • Performance Engineering
Tools & Technologies
  • AWS
  • Docker
  • Kubernetes
  • JIRA
  • Confluence
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