Senior Software Engineering Manager

James Adams — United Kingdom · Posted ~3 hours ago

Head Full-time Hybrid £150000-£160000 + bonus and pension

Skills

Engineering management Technical leadership Software architecture Team leadership Platform modernization Software platforms Cloud systems AI technologies

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Summary ✨ AI‑Generated

A senior engineering management position leading multiple teams, setting technical direction, improving existing platforms, and guiding delivery of new applications.

Highlights

Senior leadership role combining people management, technical strategy, modernization initiatives, and AI-focused innovation.

Description

London or Manchester | Hybrid, two days in the office | £150,000 to £160,000 plus bonus and pension Our client is an established international organisation looking for a hands on Senior Engineering Manager to lead several teams responsible for business critical applications. This is a senior leadership role with a strong technical focus and a clear mandate to modernise platforms and explore where AI can deliver practical value. You will lead engineering managers and their teams, set technical direction, and oversee both the improvement of existing systems and the delivery of new applications. The role calls for someone who can work at a strategic level while staying close enough to the technology to challenge designs, recognise coding problems and guide engineers towards sound solutions. AI is a significant part of the brief. Our client wants someone with genuine enthusiasm for its potential and the experience to judge where it should be used. You will help teams explore AI within products and development processes, while understanding the limitations, risks and standards needed for production use. We are looking for someone who can demonstrate: Senior engineering leadership across multiple teams, including experience managing engineering managers or team leads.A strong background in software development and continued credibility in architecture and technical decision making.Experience modernising complex, live applications while delivering new platforms or services.Production experience with modern application stacks such as React, Java or Python, alongside AWS or Azure.Practical knowledge of AI or machine learning, ideally including systems that have been built and deployed rather than explored only in prototypes.The ability to influence senior stakeholders, develop engineering leaders and bring teams through significant technical change. Experience in a regulated environment would be useful, but the quality of your engineering leadership and your approach to AI matter more than a particular industry background. The interview process has three stages and can be completed remotely.