Senior Engineering Manager - Fraud

About the role

GrabDefence, part of Grab's Integrity Group, is building Grab's first B2B enterprise technology business, offering fraud detection and prevention technology to partners. As Senior Engineering Manager, you will lead the backend engineering team behind Grab's trust and fraud-protection services, including digital banking operations and external partners, combining people leadership with strong technical involvement.

Key responsibilities

• Lead one or more backend engineering teams for trust, fraud-prevention and risk-related services, turning business priorities into technical roadmaps and delivery plans.
• Define the technical roadmap, drive architectural direction, lead architecture and system-design reviews, and review code and prototypes.
• Modernize existing services, reduce technical debt and improve scalability, while keeping services running.
• Improve delivery through automated testing, CI/CD and reliable Jenkins build and deployment workflows.
• Own operational health: observability, capacity planning, incident response, root-cause analysis and preventative engineering.
• Drive adoption of AI-assisted engineering practices and evaluate new technologies pragmatically.
• Partner with Product, Business, Data Science, Operations, Risk and domain specialists, and with digital banking businesses, regional Trust teams and external partners.
• Coach and develop engineering leaders and foster a culture of ownership and continuous improvement.

Required profile

• At least 10 years of software engineering and technology experience, including significant engineering leadership and people management.
• Proven track record leading multiple backend teams, Engineering Managers and senior contributors, delivering business-critical platforms at scale.
• Experience uplifting legacy or hastily built services into secure, maintainable platforms.
• Experience building systems handling sensitive data, with attention to security, privacy, auditability and regulatory considerations.
• Experience in fraud prevention, risk management, payments, banking, AML or identity verification is highly advantageous.
• Ability to influence technical and product strategy across organizations and communicate clearly to technical and non-technical audiences.

Required skills

• Scalable backend services, distributed systems, microservices, APIs, databases and event-driven architectures.
• CI/CD, automated testing, observability, capacity planning and site reliability engineering.
• Ability to interpret operational, product and fraud data and work with Data Science and Analytics teams.