> Markdown version of [/jobs/ext/4140307-senior-software-development-engineer](https://www.wearedevelopers.com/jobs/ext/4140307-senior-software-development-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Software Development Engineer

- **Company:** Iconics U.K. Limited
- **Location:** United Kingdom
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, C Sharp (Programming Language), Code Review, Continuous Integration, Software Debugging, DevOps, Python (Programming Language), Software Deployment, Software Engineering, TypeScript, Software Security, Containerization, Infrastructure Automation Frameworks, Information Technology, Programming Languages
- **Published:** October 15, 2026
- **Apply:** https://www.totaljobs.com/job/senior-software-development-engineer/iconics-u-k-limited-job108170549

## About the Role

We are looking for an experienced Senior Software Developer who combines strong engineering expertise with an AI-first mindset., * Significant professional software development experience with increasing responsibility and technical ownership.

 * Demonstrated experience leading technical delivery and making architectural decisions.
 * Strong experience delivering full-stack applications in production environments.
 * Deep understanding of modern software engineering principles, system design and application security.
 * Proficiency in one or more modern programming languages such as Python, JavaScript/TypeScript, C# or Java.
 * Experience with cloud platforms, containerisation, CI/CD and infrastructure-as-code practices.
 * Strong debugging, analytical and problem-solving capability.
 * Practical experience using AI-assisted development tools, automation or intelligent engineering workflows to improve software delivery outcomes.
 * Ability to evaluate AI-generated outputs critically and maintain responsibility for production quality.
 * Excellent communication skills and the ability to explain technical decisions to varied audiences.
 * The ability to assess new technologies critically and adopt them where they offer clear and sustainable value.
 * Confidence communicating technical concepts, decisions and risks to a range of audiences.

Mindset and approach

We are particularly interested in candidates who:

 * Are naturally curious about new technologies and engineering practices.
 * View AI as a practical engineering capability rather than simply a productivity tool.
 * Balance innovation with pragmatism, security and maintainability.
 * Take ownership of outcomes rather than relying on tools.
 * Share knowledge and help others improve.
 * Continuously look for better ways to deliver value through software.

Education

 * Bachelor's degree in computer science, software engineering or a related discipline is preferred; equivalent practical experience is welcomed.

## Description

Build software that matters, * Lead the design, development and delivery of full-stack applications from architecture through to production deployment.

 * Drive technical decisions and delivery across projects, balancing business requirements, quality, security and long-term maintainability.
 * Use modern engineering practices, including AI-assisted development tools and workflows, to improve productivity, quality and delivery outcomes.
 * Translate complex business requirements into clear technical solutions and implementation plans.
 * Review, test and validate software to ensure solutions remain secure, reliable and production-ready.
 * Build AI-enabled capabilities where they create meaningful business value and improve user outcomes.
 * Architect cloud-native systems using modern development, deployment and infrastructure practices.
 * Promote high standards of software engineering through code reviews, mentoring, documentation and technical leadership.
 * Evaluate emerging technologies and identify opportunities to improve engineering effectiveness across the team.
 * Become productive quickly in unfamiliar codebases, technologies and business domains.

What we mean by AI-first

AI-first does not mean blindly relying on generated code.

It means understanding how and where AI can improve software delivery and using those capabilities deliberately across the engineering lifecycle whilst remaining accountable for quality and outcomes.

You may be using AI to support:

 * Software design and solution discovery
 * Prototyping and development
 * Testing and quality assurance
 * Documentation and knowledge sharing
 * Debugging and problem resolution
 * Automation of routine engineering activities

Most importantly, you can demonstrate where these approaches have delivered meaningful results and explain the judgement applied when deciding when to use them and when not to.