Senior Engineering Lead, Corporate Internet Banking Platform

DBS Bank Ltd

Singapore

On-site

SGD 180,000 - 260,000

Full time

14 days+

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Job summary

DBS Bank Ltd seeks an experienced AVP, Senior Engineering Lead to drive the design, development, and delivery of strategic platform capabilities across digital channels. You will lead engineering delivery for digital banking domains, mentor engineers, and collaborate with business stakeholders to translate requirements into scalable, secure solutions.

The role emphasizes architecture leadership, DevSecOps practices, and modern engineering patterns such as microservices, event-driven design, and

Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or equivalent discipline.
Minimum 7 years of software engineering experience with at least 2 years in a technical leadership role.
Strong experience delivering Corporate Internet Banking, Transaction Banking, Cash Management, Payments, Digital Banking, or Corporate Banking platforms.
Strong understanding of banking domains including Payments, Accounts, Entitlements, Approval Workflows, Notifications, Regulatory and Audit Controls.
Proven experience designing and building enterprise-scale applications using Microservices Architecture, Event-Driven Architecture, API-First Design, Domain Driven Design (DDD), Cloud-Native Architecture.
Strong hands-on experience with Java, Spring Boot, Spring Cloud, REST APIs, Kafka/AMQ, SQL and NoSQL, Docker, Kubernetes.
Experience with UI and Digital Channel technologies including Angular, TypeScript, Micro Frontend (MFE) Architecture, Web Application Development.
Good understanding of DevSecOps, CI/CD, Secure Coding Practices, Application Security, Observability and Monitoring, Site Reliability Engineering (SRE).
Demonstrated ability to review code, guide developers, and maintain high engineering quality standards.
Experience working with business stakeholders and Business Analysts to refine requirements and define implementation approaches.
Hands-on experience with Jenkins, GitHub/Bitbucket, SonarQube, JIRA, Confluence.
Experience with AWS and cloud-native deployment practices is preferred.
Strong communication and stakeholder management skills.
Experience with AI-assisted software engineering tools including Claude Code, Gemini CLI, GitHub Copilot, Agentic AI Development Tools.
Experience in Agile software delivery methodologies including Scrum, Kanban, and DevOps operating models.
Relevant certifications in Java, Cloud, Architecture, Agile, Security, or AI Engineering will be an added advantage.

Responsibilities

Partner with the Engineering Lead to execute the technology strategy and architecture roadmap for the Corporate Internet Banking Platform.
Lead solution design and engineering delivery for assigned business domains and digital channel capabilities.
Work closely with business stakeholders and Business Analysts to understand requirements and translate them into scalable, maintainable, and secure technology solutions.
Drive architecture, design reviews, code reviews, and implementation governance to ensure high engineering quality and adherence to platform standards.
Provide technical leadership and guidance to developers throughout the Software Development Life Cycle (SDLC).
Review and challenge solution designs, technical specifications, and implementation approaches to ensure alignment with architecture standards and business objectives.
Support the adoption of Microservices Architecture, Event-Driven Architecture, API-First Design, Micro Frontend (MFE), DevSecOps, and modern engineering practices.
Collaborate with domain teams across Payments, Accounts, Entitlements, Approvals, Notifications, Dashboard, and Shared Services to ensure consistency of design and implementation.
Drive engineering excellence through automated testing, CI/CD, observability, secure coding, resiliency engineering, and performance optimization.
Contribute to AI-assisted software engineering initiatives using Claude Code, Gemini CLI, GitHub Copilot, and Agentic AI development tools.
Support release planning, production readiness reviews, issue resolution, and continuous improvement initiatives.
Mentor and coach engineers and junior technical leads while fostering a culture of engineering excellence and accountability.