Senior 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

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Summary

Role Requirements

Software Engineering

- Significant hands-on experience in software development and object-oriented programming.

- Strong experience building scalable full-stack applications using TypeScript/React and C#/.NET.

- Deep understanding of software engineering fundamentals, including design patterns, modular architecture, maintainable code and testing practices.

- Proven experience developing RESTful APIs, integrations and microservices.

- Experience delivering end-to-end solutions across frontend, backend and data platforms.

- Solid understanding of distributed systems, service communication patterns and complex data flows.

- Experience working with modern architectures including microservices and event-driven systems.

- Strong understanding of secure development practices and software testing methodologies.

- Experience delivering production-grade software within Agile environments.

Cloud & DevOps

- Hands-on experience with cloud platforms, ideally Microsoft Azure, although AWS or GCP experience will also be considered.

- Experience working with cloud-native services including compute, serverless, messaging, storage and identity management.

- Familiarity with Docker and Kubernetes.

- Experience implementing modern deployment patterns and scalable cloud architectures.

- Experience building and maintaining CI/CD pipelines.

- Knowledge of Infrastructure as Code tools such as Terraform or equivalent.

- Strong understanding of cloud resources, monitoring and operational best practices.

Data & Integration

- Strong understanding of database design, optimisation and data modelling.

- Experience working with both relational and NoSQL databases.

- Knowledge of data access patterns, performance optimisation and system integration design.

AI-Native Engineering

- Strong AI literacy with practical experience using AI-assisted development tools and agentic AI workflows.

- Experience applying Spec-Driven Development or similar specification-led engineering approaches.

- Ability to critically review, validate and improve AI-generated outputs to ensure quality and accuracy.

- Experience using AI to accelerate requirements analysis, specification creation, coding, testing, documentation and software delivery.

Skills & Competencies

Technical Excellence

- Deep full-stack engineering capability across frontend, backend and cloud-native technologies.

- Strong solution design and architectural thinking, balancing business needs with technical quality.

- Expertise in API development, integrations, microservices and distributed systems.

- Strong understanding of DevOps practices, CI/CD, Infrastructure as Code and deployment automation.

- Solid foundation in database technologies and data engineering principles.

AI-Native Mindset

- Uses AI tools and agentic workflows to improve productivity, quality and delivery outcomes.

- Applies sound engineering judgement, governance and validation when working with AI-generated outputs.

- Comfortable using AI to accelerate software development while maintaining accountability and control.

- Converts complex business requirements into clear, testable specifications that improve delivery speed and quality.

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