Principal Software Engineer

About the role

LIFE AT UIPATH

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.

To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.

Could that be you?

YOUR MISSION

About the Role

We are seeking a highly skilled Principal Software Engineer to lead the design and development of the Data Fabric platform—a next-generation distributed data infrastructure that enables seamless data integration, processing, governance and security at scale. As a key technical leader, you will architect robust, scalable, and high-performance systems while mentoring engineering teams to deliver cutting-edge data solutions.

WHAT YOU'LL DO AT UIPATH

- Architect, Design and Build: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security.

- Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying.

- Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure.

- Cross-functional Collaboration: Work closely with teams across other locations to innovate and develop best-in-class solutions.

- Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for data workloads.

- Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables.

- Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc.

- Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform.

- Leverage AI tools/Coding agents responsibly to accelerate development (e.g., code generation, testing, debugging, documentation), while maintaining a high engineering quality bar.

WHAT YOU'LL BRING TO THE TEAM

- Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience). - 12+ years of software engineering experience, with 5+ years in distributed data systems - Proficiency in one or more system level programming languages (C#, Java etc.) and a willingness to learn new ones - Strong understanding of object-oriented programming, architectural design patterns, system design and data structures & algorithms. - Good grasp of multithreading, synchronization, asynchronous, cloud programming. - Experience working with Cloud ecosystems such as Azure, AWS, GCP. - Familiar with modern engineering practices, including agile development, CI/CD and DevOps. - Experience with Docker, Kubernetes or other containerization technologies. - Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development. - Proven track record of effectively collaborating with globally distributed teams. - Ability to understand, communicate, provide feedback on, and drive complex technical decisions.