Senior Software Engineer

NICE•Sandy, UT

12d•Hybrid

About The Position

At NiCE, we power the world’s leading customer experience platform. We’re looking for a Senior Software Engineer who thrives on solving complex problems at scale and wants to shape the future of data-driven CX. If you’re energized by big data, modern architectures, and mentoring others—this is your moment. As a Senior Software Engineer on our CXone Outbound Dialer Data Platform team, you’ll play a critical role in designing and delivering the data systems that drive insights for millions of interactions.

Requirements

7+ years of experience building and scaling production software
Strong expertise in Java, C#, .NET, and SQL
Proven experience with AWS-based microservices architectures
Experience with modern data systems (ETL, pipelines, streaming, or warehousing)
Solid understanding of object-oriented design, design patterns, and testing practices
Experience with AI developer tools (e.g., Claude, Codex), Prompt Engineering, or RAG concepts
Excellent problem-solving, communication, and decision-making skills
A passion for collaboration, mentorship, and continuous learning
Ability to thrive in a fast-paced, high-impact environment

Nice To Haves

Experience with Kafka, Scala, or streaming platforms
Familiarity with NoSQL databases (MongoDB, DynamoDB)
Knowledge of REST, WebSockets, or gRPC services
Experience in CI/CD environments and automation tooling
Background in telecommunications, call centers, or CX platforms
Prior technical leadership experience

Responsibilities

Build and scale distributed systems that power our data lake and warehousing platform
Design, develop, and deliver high-performance, cloud-native microservices (AWS)
Own the full engineering lifecycle—from design and coding to testing, deployment, and production support
Develop ETL pipelines, data streams, and advanced data structures that fuel analytics and reporting
Write clean, maintainable, and scalable code with a strong focus on quality and automation
Collaborate cross-functionally with Product, QA, Data, and Analytics teams
Lead technical discussions, influence architecture decisions, and propose innovative solutions
Mentor and elevate junior engineers, fostering a high-performing team culture
Drive adoption of modern technologies, including AI-assisted development and data engineering practices
Ship impactful features in an Agile environment
Solve complex data and system design challenges
Optimize performance across large-scale distributed systems
Partner with stakeholders to bring ideas to life
Review code, share knowledge, and continuously improve team practices
Experiment with emerging tech like AI coding agents and intelligent data pipelines