Senior Software Architect
NICE
| Company | NICE |
| Category | Engineering |
| Location | United Kingdom - Southampton |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 18 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about?
We are looking for a talented Architect and Software Developer to join our team. You must:
Be able to communicate effectively, including via email, instant message, phone, and video conferencing tools.
Be fierce in your pursuit of product quality.
Be an excellent problem solver with an active interest in the latest design and development tools and technologies.
Be knowledgeable and enthusiastic about process.
Be practically fluent with AI tooling - using Copilot, Claude Code, Codex or equivalent in your daily work, not just experimentally. We will discuss specific examples at interview.
Be able to recognize opportunities for optimization and enhancement of process, product architecture and delivery based on the evolutions in AI.
Have clear judgement about where AI belongs in a public-safety platform, and where it does not.
How will you make an impact?
Owning the architecture, and carrying out design, AI-led implementation and validation in Cloud-based, multi-threaded, multi-server environments -working in our AI-led delivery method where code, tests and decisions are AI-drafted, with you setting intent, orchestrating implementation, and validating outputs.
Leading technical decisions on architectural direction using a collaborative, team-based approach.
Ensuring the architecture takes into account the concerns of security, scalability, compatibility, maintainability — and the responsible, evidenced use of AI in both build-time and run-time.
Performing testing of your work, fixing defects, and helping to resolve customer support cases.
Ensuring that the team adheres to the architectural direction and standards.
Mentoring and coaching team members in architecture practices, AI-led delivery techniques, and the discipline of validating AI outputs.
Liaising with Product Management during planning sessions.
Have you got what it takes?
Solid experience developing applications in C# using Visual Studio/Visual Studio Code.
Proven track record of breaking down complex market requirements into secure, scalable and resilient system designs.
Experience with multi-tenant cloud solutions.
Experience working in collaborative multidisciplinary teams.
Experience creating maintainable code and using source control solutions such as DevOps, GIT or similar.
Experience of unit testing, code reviews, and other product quality disciplines.
Solid understanding of the principles of network security, authentication, and authorization.
Experience of working with databases using Entity Framework or similar.
Good knowledge of SOLID principles.
Experience creating RESTful APIs and ensuring API extensibility.
Recent practical experience using AI tooling (Copilot, Claude Code, Codex or equivalent) in your daily work, not just experimentation. Comfortable describing what worked, what did not, and what you decided.
Output discipline: you remain accountable for the architecture you are responsible for, whatever helped you produce it.
Comfort with probabilistic systems, and clear judgement about when to use AI in a high-trust domain.
Learning velocity: able to ramp on a new AI tool or technique in days, not months.
You will have an advantage if you also have :
Security best practice (OWASP top ten)
Azure SQL Server
DevOps, Pipelines, TeamCity, GitHub
Windows services
Experience using AI tooling specifically in the architect role - for design review, ADR drafting, threat modelling, contract design, or similar.
Familiarity with AI-Native software patterns (agentic workflows, evaluation harnesses, prompt-and-response evaluation, evidence pa