Principal Software Engineer AI Native
| Company: | Aventum Group |
|---|---|
| Salary: | Not specified |
| Hours: | Full-time |
| Location: | London, EC3R 8AF |
| Working pattern: | Hybrid - 2 days remote |
| Job type: | Permanent |
| Posting date: | 22 Jul 2026 |
| Closing date: | 21 Aug 2026 |
Summary
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.
Role Accountabilities
Technical Leadership & Architecture
- 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.
Software Engineering
- Build and deliver high quality software soultions using: TypeScript, React, C #/.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.
AI-Native Engineering
- 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. Deployment. Validate and assure the quality of AI-generated outputs.
- Drive productivity improvements through AI-enabled engineering practices.
Cloud & DevOps
- 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.
Collaboration & Influence
- 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.
Role Requirements
- Significant experience as a Senior, Lead, Staff, or Principal Software Engineer.
- Strong expertise in TypeScript, 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 NoSQL 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 technicial outputs.
- Demonstrated use of AI to improve engineering productivity and delivery outcomes.
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