Why Join

• Help define what great engineering looks like in an AI-native organisation.
• Influence architecture, verification frameworks, and engineering standards across the business.
• Work on meaningful technical challenges that directly impact customers.
• Join a collaborative environment where responsibility and progression are based on capability and impact.

Responsibilities

• Design resilient, observable, maintainable, and replaceable software systems.
• Translate complex business challenges into scalable architectural solutions.
• Define technical boundaries, responsibilities, and constraints that enable teams to move quickly and safely.
• Build and enhance AI-native software delivery practices.
• Develop automated quality gates, testing strategies, and verification frameworks.
• Capture and document architectural decisions, business rules, and operational knowledge.
• Mentor engineers and contribute to the development of engineering capability across the organisation.
• Promote evidence-driven engineering and continuous improvement.

Requirements

• Strong experience in software architecture and system design.
• Deep understanding of software quality, testing strategies, and observability.
• Ability to define and evaluate evidence that demonstrates system correctness and reliability.
• Experience working within AI-enabled or AI-native engineering environments.
• Strong understanding of the strengths and limitations of modern AI technologies.
• Excellent communication skills with the ability to explain complex concepts clearly.
• Proven ability to mentor engineers and connect technical decisions to business outcomes.

Desirable Experience

• Cloud-native platforms.
• Platform engineering and Infrastructure as Code.
• Security engineering and observability platforms.
• Agentic software development and automated quality systems.