Engineering Manager

We are seeking an experienced Software Engineering Manager to lead high-performing, cross-functional development teams. This role combines technical expertise, delivery excellence, and people leadership to ensure teams build robust, scalable software aligned with business objectives.

As an AI-native leader, you will be pivotal in driving AI adoption across our Software Development Lifecycle (SDLC) and product strategy, ensuring our engineering practices remain modern, efficient, and future-ready.

Key Responsibilities

People & Performance

• Lead, coach, and develop multi-disciplinary Agile teams (typically 6–8 engineers per team).
• Create an inclusive, engaging environment with a strong engineering culture.
• Drive performance and talent development through clear feedback, coaching, and formal reviews.
• Oversee local/global hiring and onboarding to build teams with balanced technical competencies and seniority.
• Address underperformance swiftly and constructively.

Engineering Excellence

• Champion high-quality software delivery through modern engineering practices (CI/CD, test automation, observability, quality gates).
• Provide localised technical leadership ensuring guild guidelines are effectively implemented.
• Act as the technical leader guiding your team’s output and direction.

Lead teams to achieve production-readiness and robust release management practices.

Process & Delivery

• Ensure teams have the optimal processes, workflows, and tooling for success.
• Deliver commitments on time, enabling fast feedback loops with stakeholders.
• Drive continuous improvement in delivery capabilities, operating models, and tooling.
• Promote visibility and transparency through effective project tracking and communication.

Product & Value Focus

• Collaborate with Product Managers and Domain Architects to translate business requirements into technical outcomes.
• Motivate teams to deliver high-value work that balances immediate needs with long-term strategic goals.
• Champion customer-centricity through data-driven insights, feedback loops, and usability.

AI-Native Mindset

• Proactively explore, experiment with, and apply AI tools and agentic frameworks (e.g., code generation, test automation, developer productivity).
• Encourage AI adoption within engineering workflows and product capabilities.
• Partner with AI/ML SMEs to embed AI into value delivery across our SDLC.

• BSc or MSc in Computer Science, Engineering, or equivalent experience.
• 7+ years of software engineering experience, including 2+ years in people management.
• Proven experience with Agile delivery, CI/CD pipelines, and quality-focused development.
• Track record of building and scaling teams, processes, and product impact.
• Experience leading mobile and backend development teams is essential.
• Highly likely you have been a Principal or Staff Engineer prior to transitioning into an Engineering Manager role.
• Experience with identity management systems or related domains is desirable.
• Exposure to banking, payments, or SaaS is advantageous.

Enthusiasm for leveraging AI to boost productivity and innovation.