Principal Software Engineer, Site Reliability

Principal Software Engineer, Site Reliability

UiPath

Bucharest, Romania

What you'll do at UiPath

• Design, engineer, and build SRE platform systems and capabilities with cutting-edge AI, treating them as products that other engineering teams depend on in their critical path.
• Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations - reducing customer impact through broad, detailed, and effective post-mortems.
• Drive availability, scalability, and performance improvements based on livesite learnings. Generate (or codify existing) best practices and ensure they are followed widely across UiPath - not by publishing guidance, but by embedding them into the systems you build.
• Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance. Identify and drive architectural changes that significantly move the needle on these dimensions.
• Onboard other teams onto your platforms by driving outcomes yourself - writing the integrations, pairing with their engineers, removing friction - rather than handing off documentation and waiting.
• Ship early, seek feedback relentlessly, and iterate fast. Treat every user complaint as a design input, not a support ticket.
• Drive task planning, estimation, scheduling, and staffing.
• Mentor Software Engineers to develop their skills and knowledge through hands-on coaching, advice, and training opportunities.
• Participate in and influence process improvements and best practices across the engineering organization.

What you'll bring to the team

• Proven track record (10+ years) of architecting and engineering world-class, large-scale, distributed commercial applications and services, and ensuring customer success.
• Experience building large-scale, complex internal platforms adopted by 10+ teams in their critical path at a large company - systems that have stood the test of time, not prototypes that were handed off or abandoned.
• Demonstrated ability to drive adoption of your systems by doing the hard work yourself: writing integrations, removing friction for other teams, and measuring success by outcomes delivered - not features shipped.
• 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), backed by solid computer science fundamentals.
• Deep understanding 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. Ability to work with globally distributed teams.
• Experience working with or managing production Kubernetes infrastructure is a plus.
• Experience with cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a plus.
• Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.).