Software Engineer II

Join UiPath to build and evolve products that drive company growth. You'll develop and maintain an internal observability platform that shapes our commercial strategy through usage analytics, create a seamless e-commerce experience giving clients instant product access and work on RPA development infrastructure with pipelines and source control. You'll work as a full-stack engineer with .NET, TypeScript, and SQL, handling development through deployment. You'll tackle real engineering challenges-from building new features to optimizing data flows and ensuring system reliability. We offer opportunities to learn data engineering, and diverse technologies across our portfolio. If you're eager to build, continuously learn, and make an impact, this role offers that opportunity.

Responsibilities

Develop and maintain an internal observability platform that shapes commercial strategy through usage analytics; Create a seamless e-commerce experience giving clients instant product access; Work on RPA development infrastructure with pipelines and source control; Plan, design, develop, and test software systems or applications for enhancements and new features, including cloud-based tools; Collaborate with cross-functional teams across UiPath to design and engineer product areas and services; Ensure technical deliverables meet expectations for quality, security, scalability, modifiability, extensibility, and testability; Contribute to the establishment of effective and agile engineering practices; Identify performance bottlenecks and bugs; implement solutions to address them; Plan feature development, design system components, and contribute to the engineering roadmap; Maintain code quality, organization, and automation

Requirements

4+ years of experience in a software engineering role using high-level languages (C#, C++, Java, Python, Rust, etc.); Strong grasp of object-oriented programming and architectural design patterns; Knowledge of multithreading, synchronization, and asynchronous programming; Solid understanding of data structures and algorithms; Ability to write well-tested, high-quality code; Familiarity with the latest versions of .NET and C# features; Experience with other languages and technologies: C++, NodeJS, JavaScript, Angular, XAML; Cloud services experience with one or more of: Azure (preferred), AWS, GCP; Experience with data processing platforms and ETL/ELT pipelines (e.g. Snowflake, Azure Data Factory, Databricks, Spark, dbt); Familiarity with modern data warehousing concepts, dimensional modeling, and analytics engineering best practices

Benefits

Opportunities to learn data engineering and diverse technologies across our portfolio