Lead Software Engineer

Overview

In this role you will shape and deliver trusted, scalable technology for Asset & Wealth Management. You collaborate with cross-functional teams to build secure production-grade software and drive architectural outcomes. You’ll lead evaluation sessions, promote modern engineering practices, and advance AI-assisted development to improve quality and speed. You contribute to an inclusive engineering culture while solving complex, mission-critical problems in a private banking context.

Responsibilities

• Deliver creative software solutions with design, development and debugging across multiple tech areas
• Develop secure, high-quality production code and review peers’ work
• Identify automation opportunities to improve operational stability
• Lead evaluation sessions with external vendors and internal teams on architectures and applicability
• Lead communities of practice to promote new technologies among Software Engineering
• Foster diversity, opportunity, inclusion, and respect within the team
• Drive adoption of enterprise-authorized AI-assisted engineering practices with quality and security standards
• Leverage SDLC tools and automation capabilities to increase value and efficiency

Key requirements

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on experience in system design, application development, testing, and operational stability
• Advanced proficiency in one or more programming languages
• Proficiency in automation and continuous delivery methods
• Proficiency in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies, CI/CD, resiliency, and security
• Experience with cloud, AI/ML, or related technical disciplines
• Practical cloud-native experience
• Experience using enterprise-authorized AI-assisted development tools with ability to evaluate AI outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, data sensitivity, and resiliency and security expectations

• Leadership and influence
• Cross-functional collaboration
• Problem-solving and critical thinking
• Java, Spring Framework, React JS (Redux)
• Event-driven architectures and Kafka, IBM MQ
• SQL and NoSQL databases

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