Senior Software Architect

NICE•Sandy, UT

About The Position

As a Senior Software Architect, you will play a critical role in defining and evolving the technical direction of our client-facing products and internal platforms. You will architect scalable, cloud-native, API-first systems while contributing to modern development workflows and AI-driven engineering practices. Your leadership will guide teams in building reliable, secure, high-performance distributed systems and integrating emerging AI capabilities—including conversational AI, AI-assisted development workflows, and platform-level automation.

Requirements

BS in Computer Science or equivalent experience.
15+ years of software development experience.
5+ years designing or architecting large-scale systems.
Expertise in C# and familiarity with Go, Java, or similar.
Experience with relational and non-relational databases.
Experience with AI-assisted development tools.
Strong understanding of distributed systems and microservices.
Experience developing RESTful services and API-first architectures.
Working knowledge of CI/CD and DevOps tooling.
Strong communication and architectural documentation skills.

Nice To Haves

MS in Computer Science.
Experience with Azure cloud services (CosmosDB, Service Bus, App Services, etc.).
Experience with AWS or hybrid cloud environments.
Experience with Angular or modern web frameworks.
2+ years formal architecture experience.
7+ years technical leadership experience.
Experience integrating AI/ML capabilities into platforms.
Understanding of machine learning concepts.
Experience with telecommunications, real-time systems, or enterprise cloud platforms.

Responsibilities

Set end-to-end technical direction, including platform vision, technology choices, architectural patterns, and infrastructure strategy.
Design, document, and evolve cloud-native, API-first systems integrating web clients, internal services, and external partners.
Architect distributed services that emphasize scalability, performance, reliability, observability, and security.
Integrate AI-assisted development practices into engineering workflows, including tools like Claude Code, GitHub Copilot, or similar.
Promote AI-driven automation such as test generation, code refactoring, dependency analysis, and large-scale codebase exploration.
Contribute to conversational AI platforms, messaging pipelines, data flows, and ML-adjacent integrations.
Identify opportunities to incorporate ML/AI capabilities into platform features and system components.
Own architecture through implementation, testing, deployment, monitoring, iteration, and long-term stewardship.
Align architecture with product strategy through tight collaboration with Product, Design, and Engineering.
Drive technical decisions and coordinate multi-team execution while elevating engineering standards.
Provide mentorship and architectural guidance across teams.
Conduct thorough code and architecture reviews to raise engineering quality.
Improve CI/CD pipelines, development workflows, and operational excellence.
Diagnose and resolve complex performance bottlenecks across all layers of the stack.
Foster a culture of ownership, experimentation, continuous improvement, and AI-augmented engineering.