Full Stack Developer

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.

• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with businessobjectives.

• Collaboration with peers,participatein code reviews, and promote a culture of code quality and knowledge sharing.

• Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth.

• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.

• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.

• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work thatimpactsthe whole business function. Setobjectivesand coach employees in pursuit of thoseobjectives, appraisal of performancerelativeto objectives and determination of reward outcomes

• If the position has leadership responsibilities, People Leaders are expected todemonstratea clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others.

• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments,identifythe need for the inclusion of other areas of specialisation to complete assignments. They willidentifynew directions for assignments and/ or projects,identifyinga combination of cross functional methodologies or practices to meet required outcomes.

• Consult on complexissues;providing advice to People Leaders to support the resolution of escalated issues.

• Identifyways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

• Take ownership for managing risk and strengthening controls in relation to the work done.

• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of theobjectivesof the organisation sub-function.

• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

• Experience in building AI/ML software.

• Strongexpertisein machine learning, neural networkalgorithmsand generative AI applications.

• Proficient in programming languages like Python, and libraries such as TensorFlow,PyTorch, NumPy,LangChain,FastApiandLangGraph

• Experience with RAG applications, server deployment, cloud computing environments, and API development.

• Good understanding of software engineering best practices.

Some other highly valued skills/experience may include:

• Strong Python programming skills, with practical experience writing clean, production-ready code.

• Solid foundation with LLMs, including prompt engineering, fine-tuning, or retrieval-augmented generation (RAG

• Experience using structured prompt-engineering and evaluation tools (e.g.,LangSmith,PromptLayer).

• Familiarity with data science libraries and pipelines (e.g., pandas,spaCy).

• Proficiencyin working with SQL Server or other relational databases.

• Experience with Python web frameworks (e.g.,FastAPI, Django) and RESTful APIs.

You may be assessed on key skills that support success in this role, such as risk and governance methodologies, strategic thinking, and best practices for standard technology control processes, alongside role-specific technical skills.