Cloud Solution Architecture - AI Application (Github, Copilot & LLM))

Requirements

• Strong and proven experience in software development, delivering production-quality solutions.
• Strong proficiency in one or more modern programming languages, with solid engineering fundamentals (data structures, APIs, testing, and maintainable code).
• Demonstrated experience using AI-assisted development tools, such as GitHub Copilot and large language models, to support design, development, and productivity.
• Good knowledge of systems analysis and software design, including translating requirements into well-structured technical solutions.
• Hands-on experience developing applications in a cloud environment, with familiarity in cloud-native concepts (e.g. services, APIs, security, scalability).
• Ability to work effectively in a collaborative, cross-functional team and communicate technical concepts clearly.

Preferred Qualifications

• Experience modernising existing or legacy systems using modern development practices and tooling.
• Exposure to agent-based or AI-enabled modernisation approaches, such as applying LLMs for code understanding, refactoring, or solution design.
• Familiarity with DevOps practices, CI/CD pipelines, and version control systems (e.g. GitHub).
• Experience operating in agile or iterative delivery environments.

Responsibilities

• Design, build, and modernise software solutions using agentic and AI-assisted development approaches, including patterns inspired by Copilot style engagements.
• Contribute to the modernisation of existing systems, leveraging AI tools and agent-based techniques to improve developer productivity, code quality, and long-term maintainability.
• Apply systems analysis and design principles to understand both legacy and modern application landscapes, identifying opportunities for simplification, modularisation, and cloud alignment.
• Develop and enhance cloud-native applications and services, using modern cloud architectures and engineering best practices.
• Use AI-assisted development tools (e.g., GitHub Copilot, large language models, and agentic workflows) as part of day-to-day engineering, while maintaining strong engineering judgement, accountability, and code ownership.
• Collaborate with architects, product managers, and engineers to translate functional and non-functional requirements into scalable, well-designed technical solutions.
• Participate in code reviews, design discussions, and technical decision-making to uphold engineering standards and best practices.
• Support knowledge sharing and continuous improvement by contributing reusable patterns, learnings, and assets from modernisation and AI-enabled development work.

Perks and Benefits

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.