Senior Software Architect

Lead Software Architect

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.

Why this role matters now

This role sits at the centre of our AI-led delivery transformation. We are rebuilding our digital evidence platform as AI-Native, with AI tooling acting as a daily partner from design through verification. The right architect is not someone with a long list of AI credentials - AI moves too fast for credentials to mean much. The right architect is someone who already uses AI in their daily work, has formed clear judgement about where it belongs and where it does not, and is curious enough to learn the next tool when their current one is superseded.

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?

You will be responsible for:

· 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 packets).

What we do not require

We do not require you to be an AI expert. AI moves too fast for credentials to mean much. We require curiosity, recent practical use, output discipline, and the judgement to ship under accountability.

About the interview process

The final stage includes a working session using our AI tooling. The aim is to see how you think - how you set intent, validate outputs, and make decisions - not to test memorised knowledge.