Principal Software Engineer

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

UiPath is the leader in Agentic Automation. As a Principal Software Engineer - Full Stack (Backend-Focused) on the Agentic Governance Platform team, you will drive the architecture and delivery of backend systems that enable enterprise-grade governance, control, and observability across agentic automation workflows. You will bring deep backend expertise in distributed systems and cloud infrastructure while maintaining strong full-stack fluency to collaborate across the entire engineering stack. Beyond your technical contributions, you will champion the adoption of AI-powered developer tools and coding agents to amplify team productivity - shaping how the engineering organization builds software in an AI-first future.

What youll do at UiPath

• Architect & Lead Backend Systems: Own the technical vision, architecture, and implementation of large-scale distributed backend systems that power the Agentic Governance Platform - including policy enforcement, audit logging, access control, and workflow observability at enterprise scale. Ensure scalability, reliability, security, and maintainability are built in from the ground up.

• Full-Stack Fluency: Contribute meaningfully across the stack - from designing efficient REST/GraphQL APIs and microservices to collaborating on frontend integrations. Ensure seamless end-to-end delivery without hard handoffs or gaps between layers.

• AI-Powered Engineering: Champion the use of coding agents (e.g., GitHub Copilot, Cursor, Claude Code) and AI-assisted workflows to measurably improve team velocity and code quality. Define team norms for responsible and effective AI tool usage. Prototype and evaluate emerging AI developer tooling and advocate for adoption where it delivers real leverage.

• Technical Leadership & Mentorship: Set the engineering bar for the team. Mentor senior and mid-level engineers, conduct high-quality design and code reviews, and drive adoption of best practices in backend architecture, testing, and CI/CD.

• Cross-Functional Collaboration: Partner closely with product managers, designers, frontend engineers, and platform teams across geographies. Bridge the gap between backend complexity and user-facing impact - translating governance and compliance requirements into robust technical solutions.

• Performance & Reliability: Identify and resolve system bottlenecks, define SLOs, and build for high availability. Own reliability for mission-critical governance workloads. Establish observability standards using tools like Prometheus and Grafana.

• Platform Modernization: Evaluate and integrate emerging technologies (Apache Kafka, Spark, Flink, Kubernetes, etc.) to continuously evolve the platform. Drive adoption of modern engineering practices including agile development, infrastructure as code, and automated testing.

• Ownership & Accountability: Own software deliverables end-to-end - quality, security, scalability, modifiability, extensibility, and testability. Proactively manage timelines and dependencies across distributed teams.

• Innovate at the Intersection of AI + Governance: Collaborate with AI platform teams to embed agentic intelligence into governance services and APIs - enabling smarter policy enforcement, anomaly detection, and compliance automation. Help define how the Agentic Governance Platform evolves in an AI-native world.

What youll bring to the team

• • Bachelors/Masters degree in Engineering, Computer Science or equivalent experience.

  • 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, …