Principal Software Engineer

Role Overview

Join the Vertical Solutions team and build UiPath's most ambitious product - an AI agentic orchestration platform. As a Principal Software Engineer, you'll be at the forefront of our Act 2 strategy, building the infrastructure that allows enterprises to seamlessly orchestrate AI agents, robots, and human-in-the-loop workflows to achieve critical business outcomes.

What You Will Do

Build and Scale: Design, develop, and maintain full stack for Vertical Solutions products leveraging AI Coding Assistants. Hands-On Development: Write production-quality code daily, leveraging AI tools to enhance your development workflow. Prototype and Ship: Take ideas from Prototype to validate with real customers and turn the ones that prove value into production systems.

Why It Might Be a Fit

Builder mindset — you enjoy turning ideas into working systems and taking ownership from Concept through, Customer impact and Production. Strong full stack knowledge including frontend systems like React and backend systems - Python and/or C#.

Requirements

• 13+ years of software engineering experience, with 5+ years focused on distributed systems and backend architecture.
• Strong proficiency in one or more system-level languages – Javascript / C# / Java etc
• Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts).
• Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.
• Experience with React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution.
• Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models.
• Hands-on experience with cloud ecosystems: Azure, AWS, or GCP.
• Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.
• Hands-on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, or similar) and a demonstrated ability to integrate these into daily engineering workflows.
• Experience driving team adoption of AI-powered productivity tools – setting norms, measuring impact, and iterating on usage patterns.
• Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code.
• Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.
• Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels.

Benefits

• Flexible work arrangements
• Diverse and inclusive workplace
• Equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes
• Reasonable accommodations for candidates on request
• Respects applicants' privacy rights