01Overview
Engineering Team Lead (ETL)
The Job in short
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.
Meet the job
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.
How about you
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. .
