Principal Software Engineer

UiPath•Bellevue, WA

13d

About The Position

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? Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides 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. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our .

Requirements

10+ years of architecting and building world-class, large-scale commercial applications with a focus on external product impact.
Deep technical background in Workflow Engines, Orchestration, and structured/unstructured data/document processing is an advantage.
Depth in building user experiences is also an advantage.
Expertise in distributed systems, data layers (OLTP/OLAP) and high-scale is expected.
Mastery of programming language paradigms, schema design, and the creation of robust, public-facing APIs that drive ecosystem growth.
An innate ability to balance technical perfection with business impact, ensuring our engineering efforts move the needle for our customers' bottom lines.
The ability to lead through influence and inspire a globally distributed team.
Software engineering experience with hands-on coding in languages such as C#, Java, Python, or React.
Proficiency in AI-native development — working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor.
Fundamentals in data structures, algorithms, object-oriented design, and scalable systems.
Experience building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs).
Problem-solving and technical judgment skills, with the ability to design scoped solutions, debug complex issues, and improve service performance.
Experience in driving AI (LLM/ML) based engineering solution.

Nice To Haves

Core Domain Expertise: Deep technical background in Workflow Engines, Orchestration, and structured/unstructured data/document processing is an advantage.
Depth in building user experiences is also an advantage.
Experience in Agentic Automation and Workflow development is a plus.

Responsibilities

Architecting and building world-class, large-scale commercial applications with a focus on external product impact.
Building user experiences.
Driving ecosystem growth through robust, public-facing APIs.
Balancing technical perfection with business impact, ensuring engineering efforts move the needle for customers' bottom lines.
Leading through influence and inspiring a globally distributed team.
Hands-on coding in languages such as C#, Java, Python, or React.
Proficiency in AI-native development — working within Agent Harnesses (GitHub Copilot CLI, Coding Agents), authoring Markdown specs/ADRs and YAML configs as Agent-consumable inputs, orchestrating multi-step Agentic workflows across the SDLC, and reviewing Agent-generated code and PRs with production-grade rigor.
Building, testing, debugging, and maintaining production-quality software, following established engineering practices as well as leveraging large language models (LLMs).
Driving AI (LLM/ML) based engineering solutions.
Experience in Agentic Automation and Workflow development.