- Drive AI assisted engineering by select, standardise, and govern AI tool to improve productivity, quality, and compliance.

- Provide technical troubleshooting and performance optimisation, resolve system issue and coordinate incident across team.

- Collaborate across agile team to guide solution design, estimation, and requirement refinement.

- Identify and manage risk, proactively surface issue that may impact delivery or project success.

- Promote innovation and R&D by evaluate new technology, build business case, and enhance solution capability.

- Ensure engineering excellence through code review, quality assurance (including AI generated code), team capability development, ethical AI practice, and cyber risk management.

Desired skills :

- Demonstrate strong understanding of DevSecOps practices, benchmarks, and performance measurement.

- Deliver full stack development across Java/J2EE, Spring Boot, and Angular, building scalable microservices and web applications.

- Design secure, scalable, and maintainable solutions using MVC patterns, modular architecture, and dependency injection.

- Integrate systems and manage APIs, including databases, third party services, and secure authentication (OAuth2, JWT).

- Apply advanced AI engineering skills, including prompt engineering, context assembly (RAG), and automated quality/compliance controls.

- Drive DevOps, automation, and cloud adoption, including CI/CD pipelines, testing frameworks, containers, and Kubernetes/OpenShift.

- Provide technical leadership and governance, covering AI risk, security (including LLM threats), regulatory compliance, stakeholder communication, and delivery within financial services environments.

- A passion for leveraging emerging technologies to stay ahead in a rapidly evolving digital landscape.