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# CTO

- **Company:** White Horse Employment and Professional Resources
- **Location:** Chippenham, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Software as a Service, Cloud Computing, DevOps, Software Engineering, Enterprise Software Applications
- **Published:** September 17, 2026
- **Apply:** https://www.wh-employment.co.uk/job/cto-6030836/apply

## About the Role

* 15+ years' software engineering/technology experience.
 * 5+ years' at CTO, VP Engineering, Engineering Director, R&D Director or equivalent level.
 * Experience leading distributed international engineering teams.
 * A track record of transforming engineering organisations towards product-led development.
 * Strong experience within SaaS, enterprise software, cloud, transportation/mobility or another complex software environment.
 * Experience developing engineering managers and future technical leaders.
 * Strong understanding of modern software engineering, architecture, DevOps and cloud technologies.
 * Proven experience implementing AI within the software development lifecycle.
 * The credibility to work effectively with highly experienced technical specialists while providing clear strategic leadership.
 * Experience within private equity, acquisitive or multi-business-unit environments would be advantageous, as would additional European language skills.

## Description

White Horse Employment are supporting an established technology business in the appointment of a CTO / R&D Director to lead its global software engineering and R&D function. Reporting directly to the Managing Director, this is a senior leadership role responsible for technology strategy, engineering delivery, software quality, architecture, team performance and operational excellence., * Lead and develop global engineering and R&D teams, including engineering managers and technical leads.

 * Shape and deliver the technology and engineering strategy.
 * Transition the organisation towards a scalable, product-led development model.
 * Improve delivery predictability, engineering quality and operational performance.
 * Drive greater use of automated testing, DevOps and modern engineering practices.
 * Establish meaningful engineering KPIs around delivery, quality and recovery.
 * Oversee architecture, deployment standards and technical decision-making across cloud and on-premise environments.
 * Strengthen succession planning, knowledge sharing and engineering capability.
 * Manage third-party development partners and external technical resources.
 * Embed secure-by-design principles and support relevant regulatory requirements.
 * Lead the organisation's adoption of AI-assisted software development, delivering measurable improvements in productivity, quality, speed and cost.


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