Staff Software Engineer- Eng

UKG•Sunrise, FL

About The Position

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we do. We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you’ll get flexibility that’s real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters—and so do you. We are looking for a Staff Software Engineer to support our Product, Development, and Cloud organizations by leading the design and evolution of our data platform and event-driven systems. In this role, you will define and implement scalable data architectures, enable advanced analytics and data sharing practices, and provide technical leadership across teams to ensure the platform meets current and future business needs. About the Team The team builds and operates the core systems that enable high-volume, reliable data movement across the organization. We specialize in event-driven and streaming architectures, with a strong focus on Kafka and cloud-native technologies. Our platforms power real-time product features, analytics, and intelligent automation, and are designed to scale securely as data volume and complexity grow. About the Role As a Staff Software Engineer with the Messaging and Eventing team, you are a senior individual contributor responsible for technical direction, system design, and long-term platform health. You will lead architecture and design decisions for eventing, data ingestion, and data processing systems, while remaining hands-on in critical areas of implementation. You will work across teams to translate business and product requirements into durable technical solutions, establish standards and best practices, and proactively evolve the platform to support new use cases. This role emphasizes influence, mentorship, and architectural ownership rather than direct people management.

Requirements

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent experience
6+ years of professional software engineering experience
Advanced proficiency in one or more programming languages such as Java or .NET
Extensive experience designing and building distributed systems or data platforms
Strong understanding of data modeling, data relationships, and data lifecycle management
Experience working in Agile development environments

Nice To Haves

Design and lead implementation of distributed systems using Event Sourcing and CQRS patterns, ensuring scalability, consistency, auditability, and clear separation of read/write concerns
Deep experience with Apache Kafka or similar streaming/eventing platforms
Experience designing large-scale ETL or streaming data pipelines
Strong background in cloud-native architectures and distributed storage systems
Proven ability to influence technical direction across multiple teams
Experience using AI-powered development tools, intelligent agents, or automation technologies to improve engineering productivity, system quality, and delivery velocity
Excellent communication skills with the ability to explain complex technical concepts to diverse audience

Responsibilities

Lead the design and evolution of event-driven and data platform architectures supporting structured and unstructured data
Own and guide the technical direction of data ingestion, routing, storage, and transformation systems
Design scalable, fault-tolerant solutions using distributed and cloud-based technologies
Establish and maintain design standards, patterns, and assurance processes for data systems and integrations
Review business and product requirements and propose architectural changes to support growth, scale, and reliability
Develop and oversee data pipelines, including ETL and streaming workflows, ensuring data quality and integrity
Leverage automation, big data techniques, and AI/ML-enabled tooling to improve data processing and platform resilience
Mentor and coach engineers through design reviews, code reviews, and technical guidance
Evaluate and adopt new technologies that improve platform capabilities and developer productivity

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