3 months ago
Responsibilities
- Design, engineer, and build SRE platform systems and capabilities with AI for use by engineering teams on their critical paths.
- Participate in livesite monitoring rotations, handle escalations, drive mitigations, and conduct detailed post-mortems.
- Drive availability, scalability, performance, reliability, and quality improvements based on livesite learnings.
- Embed engineering best practices into systems and ensure they are followed broadly across UiPath.
- Onboard other teams by writing integrations, pairing with engineers, removing adoption friction, and measuring outcomes.
- Ship early, gather user feedback, and iterate on platform capabilities.
- Drive task planning, estimation, scheduling, and staffing.
- Mentor software engineers through hands-on coaching, advice, and training.
- Participate in and influence engineering process improvements and best practices.
Requirements
- 10+ years of experience architecting and engineering large-scale distributed commercial applications and services.
- Experience building complex internal platforms adopted by 10+ teams in their critical path at a large company.
- Demonstrated ability to drive adoption through hands-on integrations, friction removal, and outcome measurement.
- Experience building and maintaining complex AI-powered applications in production.
- Proficiency in one or more object-oriented languages such as C#, C++, Java, or Python.
- Strong computer science fundamentals and deep knowledge of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming.
- Experience with service-oriented and microservice-based architectures, HTTP applications, and web services development.
- Familiarity with modern engineering practices including agile development, CI/CD, and DevOps.
- Experience working with or managing production Kubernetes infrastructure is preferred.
- Experience with Azure, AWS, GCP, and managed services such as AKS and GKE is preferred.
- Experience with database backends such as Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, or DynamoDB is preferred.
- Ability to work with globally distributed teams.
Benefits
- Flexible work arrangements may be hybrid, office-based, or remote depending on business and role needs.
- Applications are assessed on a rolling basis with no fixed deadline; the requisition may close when a qualified candidate is selected.
- UiPath provides an inclusive workplace, equal opportunities, and reasonable accommodations upon request.
Tech Stack
About UiPath
UiPath develops AI technology that mirrors human intelligence with ever-increasing sophistication, transforming how businesses operate, innovate, and compete. The UiPath Platform™ accelerates the shift toward a new era of agentic automation—one where agents, robots, people, and models integrate seamlessly to drive autonomy and smarter decision-making. With a focus on security, accuracy, and resiliency, UiPath is committed to shaping a world where AI enhances human potential and revolutionizes industries.