Lead Software Engineer

Lead Software Engineer

The Lead Software Engineer designs and evolves core services within the NICE CXone platform, building scalable cloud systems that support enterprise customers worldwide. This role combines strong software engineering fundamentals with modern development practices, including AI-assisted engineering tools and agentic workflows that accelerate delivery and improve code quality.

Engineers in this role collaborate closely with product managers, system analysts, and architects while mentoring other engineers and driving solutions to complex platform challenges.

What You'll Do

• Design, build, and own scalable distributed services that power critical components of the NICE CXone platform.
• Lead the design and evolution of complex systems across multiple services, balancing performance, reliability, and maintainability.
• Write high-quality, maintainable code and provide thoughtful code reviews that help raise the engineering bar across the organization.
• Design and implement automated testing and quality strategies that improve system reliability and engineering velocity.
• Partner with product management, system analysts, architects, and other engineering teams to shape technical solutions and deliver meaningful outcomes for customers.
• Provide technical leadership and mentorship, helping engineers develop strong engineering judgment and ownership.
• Take ownership of production systems, diagnosing issues, resolving defects, and improving platform stability and resilience.
• Promote modern engineering practices including automation, observability, maintainable architecture, and AI-assisted development workflows that accelerate development and system understanding.
  
  

Engineering Culture at NICE

At NICE, we believe great engineers own outcomes. Our teams focus on solving meaningful problems for customers and delivering results rather than simply completing tasks.

Engineers in this role are trusted to think critically, propose solutions, and make technical decisions that move systems forward. There is rarely only one correct path to solving a complex engineering challenge, and we value experimentation, iteration, and continuous improvement.

Our engineering teams are also actively adopting AI-augmented development practices to accelerate software delivery and improve system quality. Engineers regularly use modern AI tools and workflows to assist with development, debugging, testing, and system analysis.

Examples include:

• Using AI tools such as Claude Code, GitHub Copilot, or similar to assist with coding, debugging, and documentation
• Leveraging AI for test generation, refactoring, and system exploration in complex codebases
• Automating engineering workflows such as dependency analysis or large-scale code investigation

We do not expect every candidate to be an expert in these tools today, but we are looking for engineers who are curious about modern development workflows and excited to continuously improve how software is built.

Required Qualifications

• Bachelor’s degree in Computer Science, Business Information Systems, or a related field (or equivalent practical experience).
• 8+ years of professional software development experience designing and building production systems.
• Strong engineering judgment with the ability to evaluate tradeoffs and design practical solutions to complex technical challenges.
• Experience building and operating distributed services using Go, Java, and Spring.
• Experience designing and maintaining AWS-based microservices architectures.
• Deep understanding of object-oriented design, common design patterns, and maintainable software architecture.
• Experience developing automated tests and working within CI/CD development environments.
• Experience working in agile development environments with strong collaboration across engineering, product, and architecture teams.
• Experience leveraging modern developer tooling, including AI-assisted development platforms (such as Claude Code, GitHub Copilot, or similar) to improve engineering productivity.

 

Preferred Qualifications

• Experience working with large-scale distributed systems or real-time platforms.
• Experience with MongoDB, DynamoDB, or similar distributed database technologies.
• Experience building services using REST APIs, WebSockets, or gRPC.
• Experience working in CI/CD environments and modern automation frameworks.
• Experience serving as a technical lead or mentoring engineers.
• Experience working in telecommunications, telephony systems, or contact center platforms.
• Experience integrating AI/ML capabilities into software platforms or working with AI-assisted development workflows.
• Experience with information security practices.

 

Why Join NICE Engineering

You’ll work on a large-scale cloud platform supporting enterprise customers worldwide while helping shape the next generation of engineering practices at NICE.

Our teams build highly reliable distributed systems while adopting modern development workflows and AI-assisted engineering practices that accelerate innovation without sacrificing quality.