Senior Software Engineer AI Native

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

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.
• 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.

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.
• 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.

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.
• Translates complex business requirements into clear, testable specifications that improve delivery speed and quality.

Proud member of the Disability Confident employer scheme

About Disability Confident

Disability Confident is a government scheme. It encourages employers to recruit and retain disabled people and those with long term health conditions.

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