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GCS Recruitment is seeking an Engineering Manager to lead back-end and AI-enabled product teams in a fully remote setting. You will shape engineering structure, mentor engineers, and align delivery with business objectives.
Ideal candidates bring strong software engineering roots in Java/Python, hands-on cloud-native experience, Kubernetes, and a proven track record of growing teams in fast-moving environments. Remote work flexibility offered.
Location: Fully Remote
Employment Type: Permanent
We are looking for an experienced Engineering Manager to lead and grow a high-performing engineering organisation spanning Back-end Engineering and AI-enabled product development.
This is a unique opportunity to join a business operating with the pace, autonomy, and innovation of a startup while benefiting from the backing and resources of a larger, established organisation. Rather than stepping into a mature structure and simply maintaining it, you'll play a key role in shaping engineering teams, influencing delivery practices, and helping build the foundations for the next phase of growth.
You will lead teams responsible for modern back-end platforms, micro-services, APIs, integration's, and AI-powered solutions that support a growing portfolio of digital products. Working alongside experienced technical leaders, you'll focus on people leadership, organisational development, team effectiveness, and delivery outcomes, while enabling engineers to solve complex technical challenges at scale.
This role would suit an Engineering Manager who enjoys building teams, developing talent, creating structure in fast-moving environments, and helping engineers deliver impactful products using modern cloud-native technologies.
The engineering organisation works across modern back-end and AI technologies, including cloud-native architectures, micro-services, containerised workloads, event-driven systems, APIs, data platforms, and AI-powered applications.
Teams build and operate highly scaleable services using technologies such as Java, Python, Kubernetes, cloud platforms, CI/CD pipelines, observability tooling, and modern engineering productivity tools. AI capabilities form an increasingly important part of the technology landscape, with teams delivering intelligent services, automation, and generative AI solutions that integrate into wider product ecosystems.
This is an opportunity to join an organisation at an exciting stage of growth and transformation, where Engineering Managers have genuine influence over how teams are built, developed, and scaled.
You'll have the chance to shape engineering culture, develop exceptional talent, influence how modern back-end and AI capabilities are delivered, and make a tangible impact on the future direction of the technology organisation.
If you're passionate about building high-performing teams, developing engineers, and helping modern technology organisations scale successfully, we'd love to hear from you.