Provides technical guidance to engineering and business partners, acting as a subject matter expert in relevant application, service or integration domains.
Leads the technical delivery of complex changes through implementation, testing, integration, controlled migration, release readiness and operational support.
Applies enterprise-authorised coding agents and automation across design, implementation, testing, review and troubleshooting, creating reusable context, tools and workflows.
Drives effective team adoption of approved AI-assisted engineering practices, validating generated changes through peer review and independent tests for correctness, performance and security, and coaching others on safe use.
Works closely with business, Product, Design, web and mobile partners to clarify client needs, interpret financial workflows and translate agreed requirements into practical technical solutions.
Improves engineering standards, automation, observability and resilience for owned services, escalating material risks and cross-domain decisions to the appropriate engineering or control owner.
Mentors engineers through code and design reviews, shares reusable patterns and knowledge, and contributes to a culture of curiosity, technical excellence and continuous improvement.
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and advanced Java applied experience.
Advanced hands-on practical experience delivering system design, application development, testing and operational stability for scalable client-facing applications.
Strong Java/JVM, API, distributed-systems and data-modelling skills, with practical experience of reliable service integration and robust failure handling.
Ability to solve complex design and functionality problems independently with limited oversight, explain technical trade-offs and recognise when wider decisions require alignment or escalation.
Practical cloud native experience on AWS or a comparable platform, including automated delivery, testing, observability and production support.
Demonstrated effective use of enterprise-authorised coding agents beyond basic code completion, with concrete examples of implementation, review, test acceleration or troubleshooting and how outputs were verified.
Strong understanding of responsible AI use in engineering, including sensitive-data handling, secure development, resiliency, human review and independent validation; ability to guide peers on compliant practices.
Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field.
Public GitHub repositories or substantive open-source contributions demonstrating your own hands-on engineering work, with the ability to explain relevant code, design decisions, testing and outcomes.
Evidence of curiosity and self-directed learning beyond routine delivery, demonstrated through prototypes, open-source work, technical experiments or reusable engineering tools.
Effective technical leadership, mentoring and business communication, with the ability to understand client and financial workflows and work constructively across teams and locations.
Preferred qualifications, capabilities, and skills
CFA charterholder status, progress through the CFA Program, or equivalent professional experience demonstrating strong knowledge of financial markets, investment products, portfolio management or private banking.
Experience in International Private Banking, wealth or asset management, digital banking, trading or other transaction-sensitive client platforms.
Native iOS and/or Android application development experience, with the ability to partner effectively with specialist mobile teams on end-to-end client journeys.
Experience creating reusable coding-agent workflows, engineering skills, context libraries, test harnesses or evaluation tools that improve team delivery and quality.
Full-stack web or cloud-native modernisation experience that complements strong back-end engineering and reduces integration complexity and operational cost.
