Senior Developer
Listed on 2026-08-23
-
Software Development
Backend Developer, Software Engineer, Full Stack Developer, AI Engineer (Applied/Software)
Location:
Cambridge (Hybrid, minimum 3 days in office) or Remote: UK-based
Full-time/Permanent
Salary: £40,000 - £52,000
neurobox is the neuro
Navigation company helping the world's largest organisations embed neuroinclusion at scale so that everyone finds their way in the workforce. We deliver Workplace Needs Assessments, coaching, awareness training, assistive technology and neurohub; our free digital platform that connects every step of the employee neuroinclusion journey.
Our Belief
- We value different perspectives, backgrounds, and experiences. We welcome applications from experienced Senior Developers regardless of background, identity, or career journey. We know exceptional engineers come from many different paths. If you don't meet every requirement but believe you can thrive in the role, we would love to hear from you. We are committed to providing an inclusive recruitment process and reasonable adjustments throughout.
Employer Value Proposition
- Meaningful work with visible impact, Inclusive, collaborative culture, Hybrid flexibility, and Professional development.
Role Overview
- Build technology that solves real problems. Shape how we build it. Help raise the standard of engineering around you.
We are looking for an experienced Senior Developer to take meaningful technical ownership, influence how products are designed and built, and work with colleagues who care about creating secure, scalable, and genuinely useful technology.
You will help turn complex customer and business needs into thoughtful technical solutions, challenge assumptions, improve engineering practices and support other developers to do their best work. You will have the autonomy to make decisions within your area, alongside the responsibility to consider maintainability, security, accessibility, performance, and long-term product value.
Artificial intelligence is becoming part of modern software engineering rather than a separate specialism. We therefore want someone who can use AI-enabled development tools confidently and responsibly, understand where AI can improve products or engineering workflows, and apply sound judgement around data, security, quality, and human oversight.
This role offers the chance to influence both what we build and how we build it. You will work across the development lifecycle, partnering with Product and other colleagues to explore problems, shape solutions, make pragmatic architectural decisions and deliver software through to production.
We are interested in people who combine technical depth with curiosity and commercial awareness. You may come from a SaaS business, technology consultancy, digital product environment or another setting where you have built and supported production software. What matters most is the quality of your thinking, the impact you have had and the way you work with others.
What you will be trusted to do- Own the design and delivery of complex software features and services from discovery through to production, making sound technical decisions and communicating the trade-offs behind them.
- Build clean, secure, testable, and maintainable software, while improving existing code and addressing technical debt in a deliberate and commercially sensible way.
- Contribute to architecture and technical design, helping ensure solutions can scale and evolve as customer, product, and business needs change.
- Use AI-assisted engineering tools responsibly to accelerate research, prototyping, coding, testing, documentation and problem-solving without compromising engineering judgement or quality.
- Identify credible opportunities to incorporate AI capabilities into products, services, or internal workflows, evaluating value, risk, feasibility and appropriate human oversight.
- Strengthen engineering quality through thoughtful code review, automated testing, observability, CI/CD, documentation, and secure development practices.
- Support production services, investigate incidents and recurring issues, and turn operational learning into lasting improvements.
- Help create an inclusive engineering culture where constructive challenge, experimentation, learning and accountability are encouraged.
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