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Vice President of Software Engineering

JR United Kingdom

Luton

On-site

GBP 90,000 - 150,000

Full time

6 days ago
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Job summary

A leading product development team in Belfast is seeking a VP of Engineering to lead a world-class engineering team during a rapid expansion phase. This strategic role involves overseeing the technical roadmap, integrating AI/ML solutions, and fostering a culture of innovation and excellence. The ideal candidate will have a proven track record in leadership and extensive experience in SaaS development.

Qualifications

  • 10+ years in software engineering, including 5+ years in senior leadership roles.
  • Expertise in leading diverse, distributed teams across geographies.
  • Experience with AI/ML and cloud-based infrastructures, preferably AWS.

Responsibilities

  • Lead, grow, and mentor a high-performing distributed engineering team.
  • Shape the technical roadmap and oversee architecture, code quality, and performance.
  • Promote engineering best practices including automated testing and agile adherence.

Skills

Leadership
Full-stack development
Agile/Scrum methodologies
AI/ML product lifecycle

Education

Bachelor’s or Master’s in Computer Science, Engineering, or related field

Tools

Git
CI/CD pipelines
Containerisation

Job description

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Vice President of Software Engineering, luton, bedfordshire

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Client:

Enso Recruitment

Location:

luton, bedfordshire, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

1

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Enso Recruitment are currently recruiting on behalf of a leading product development team in Belfast as they seek to add a VP of Engineering to their team throughout a period of rapid expansion.

The Opportunity

Our client is looking for a VP of Engineering to lead, scale, and inspire a world-class engineering team. This role is both strategic and hands-on, responsible for delivering the next generation of their SaaS platform. As the VP of Engineering, you’ll oversee architectural decisions, product scalability, and AI/ML integration while working cross-functionally with product, design, and go-to-market teams.

Ideal for a tech leader who thrives in a fast-paced, mission-driven environment, this role offers the chance to make a lasting impact on product innovation, engineering culture, and customer success.

Key Responsibilities

Leadership & Team Management:

  • Lead, grow, and mentor a high-performing distributed engineering team.
  • Define goals, manage performance reviews, and support career development.
  • Drive recruitment efforts, from drafting job descriptions to conducting interviews.
  • Foster a culture of accountability, innovation, and operational excellence.

Technology & Delivery Oversight:

  • Shape the technical roadmap, ensuring scalability and AI/ML integration.
  • Provide hands-on guidance in sprint planning, backlog refinement, and daily standups.
  • Oversee architecture, code quality, performance, and security standards.
  • Promote engineering best practices including automated testing, documentation, and agile adherence.
  • Champion the integration of AI/ML into core products and workflows.
  • Collaborate with product leaders to deliver robust, ethical AI-driven features.
  • Drive innovation in AI-powered customer-facing solutions and internal tools.

The ideal candidate profile

You bring expertise in:

  • Leading diverse, distributed teams across geographies.
  • Full-stack development and scalable SaaS architectures.
  • Communicating technical ideas to stakeholders of all backgrounds.
  • Agile/Scrum methodologies, continuous integration, and test automation.

You have experience with:

  • AI/ML product lifecycle and cloud-based infrastructure (preferably AWS).
  • Tools and platforms like Git, CI/CD pipelines, containerisation, and message queues.
  • Scaling platforms from startup through growth stages.

Nice to have:

  • Experience in developing AI-enabled go-to-market features.
  • Familiarity with non-relational/NoSQL databases and AI compliance (e.g., data privacy, model governance).
  • Domain knowledge in sectors such as cybersecurity, fintech, or enterprise SaaS.

Requirements

  • Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience).
  • 10+ years in software engineering, including 5+ years in senior leadership roles.
  • Proven success in leading high-impact engineering teams.
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