Engineering Manager

Neevglobal — United Kingdom · Posted ~3 hours ago

Lead Full-time Onsite

Skills

Engineering leadership Cloud-native systems Software architecture AI adoption Team management Cloud AI/ML Distributed systems

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Summary ✨ AI‑Generated

A senior engineering leadership opportunity focused on owning technical delivery, guiding architecture decisions, improving engineering practices with AI-enabled tools, and mentoring teams building reliable cloud-based platforms.

Highlights

Leadership role driving engineering transformation, scalable systems delivery, AI adoption, and team development while collaborating with cross-functional stakeholders.

Description

Role description: Own the engineering delivery roadmap - Partner with customer leadership to define and execute technical roadmaps that balance speed, quality, and long-term maintainability, aligned to the customer's broader business goals. Lead AI-driven engineering transformation - Drive AI adoption across the engineering lifecycle, from developer tooling (AI-assisted coding, review, testing) through to embedding AI/ML into customer's products with a clear focus on cost optimisation and delivery velocity. End-to-end technical ownership - Take full accountability for the design, build, and delivery of highly available, scalable, cloud-native systems, ensuring reliability and performance at production scale. Collaborative cross-functional leadership - Work closely with the customer and partner teams (Product, Design, Engineering) to shape priorities, OKRs, and architecture decisions as one integrated team. Team leadership and capability building - Lead, mentor, and grow the deployed engineering team, embedding best practices in code quality, testing, and CI/CD, and building a strong team. Represent engineering in governance and planning - Contribute to customer's planning, budgeting, and leadership and executive reporting cycles; surface and resolve technical debt, bottlenecks, and cross-team dependencies early.