Principal Software Engineer AI Native

Role Summary

We are seeking an exceptional Principal Software Engineer – AI Native to lead the design, development, and delivery of business‑critical software platforms across Aventum Group. This is a hands‑on leadership role for a highly experienced software engineer who combines deep technical expertise with an AI‑first mindset. You will be responsible for architecting scalable solutions, driving engineering excellence, and leveraging AI‑native development practices to accelerate software delivery and innovation across the business.

As a Principal Engineer, you will act as a technical authority across multiple initiatives, influencing architecture, engineering standards, AI adoption, cloud strategy, and software delivery practices whilst remaining actively involved in solution design and development.

• Define and drive engineering standards, architecture principles, and software development best practices.
• Design scalable, resilient, and secure enterprise solutions across frontend, backend, data, and cloud environments.
• Provide technical leadership across multiple engineering teams and strategic initiatives.
• Lead architectural decision‑making and technology selection processes.
• Champion modern engineering approaches including microservices, event‑driven architectures, APIs, and distributed systems.
• Drive technical governance while maintaining delivery speed and engineering quality.

• Build and deliver high‑quality software solutions using Type Script, React, C#, and .NET and cloud‑native technologies.
• Design and develop APIs, integrations, and platform services.
• Take ownership of solution delivery from specification through deployment and ongoing optimisation.
• Review code and ensure engineering quality, maintainability, security, and performance.
• Support complex troubleshooting, performance tuning, and root‑cause analysis.

• Lead adoption of AI‑assisted development tools and agentic AI workflows.
• Apply Spec‑Driven Development principles to improve software quality and delivery speed.
• Use AI to accelerate requirements gathering, technical specifications, coding, testing, documentation, and deployment; validate and assure the quality of AI‑generated outputs.
• Drive productivity improvements through AI‑enabled engineering practices.

• Design and deliver cloud‑native solutions primarily within Microsoft Azure.
• Improve CI/CD pipelines, deployment automation, and Infrastructure‑as‑Code capabilities.
• Implement secure, scalable, and observable cloud architectures.
• Drive best practice across monitoring, resilience, security, and operational excellence.

• Partner with Product, Data, Technology, and Business stakeholders.
• Translate complex business requirements into scalable technical solutions.
• Mentor engineers and contribute to knowledge sharing across the engineering function.
• Influence the future direction of software engineering and AI adoption within Aventum.
• Any additional duties as assigned.

• Significant experience as a Senior, Lead, Staff, or Principal Software Engineer.
• Strong expertise in Type Script, React, C#, and .NET.
• Proven experience building enterprise‑scale applications and distributed systems.
• Deep understanding of software architecture, design patterns, testing, and engineering best practices.
• Experience building APIs, integrations, and microservices.
• Strong understanding of secure software development principles.
• Hands‑on experience with Microsoft Azure, AWS, or GCP.
• Experience with Docker, Kubernetes, CI/CD pipelines, Infrastructure as Code (Terraform or equivalent).
• Strong understanding of cloud‑native architecture and operational excellence.
• Strong database design and optimisation experience.
• Experience with relational and No
  
  SQL databases.
• Understanding of complex data flows, integration architectures, and performance optimisation.
• Practical experience using AI‑assisted engineering tools.
• Strong AI literacy and understanding of agentic AI workflows; experience reviewing and validating AI‑generated code and technical outputs.
• Demonstrated use of AI to improve engineering…