Senior Software Engineer- Site Reliability Platform

Overview

Senior Software Engineer on UiPath's Site Reliability platform team, building the platforms and systems the company depends on to meet compliance and SLA commitments to customers.

What you'll do

• 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, aggressively reducing customer impact through broad, detailed, and effective postmortems.
• Drive availability, scalability, and performance improvements based on livesite learnings, and generate (or codify existing) best practices and ensure they are followed widely across UiPath.
• Ensure technical deliverables meet or exceed expectations on reliability, scalability, quality, and performance, and 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, and removing friction rather than handing off documentation and waiting.
• Ship early, seek feedback relentlessly, and iterate fast, treating every user complaint as a design input, not a support ticket.
• Drive task planning, estimation, scheduling, and staffing.
• Participate in and influence process improvements and best practices across the engineering organization.

What you'll need

• Proven track record (6+ 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 multiple teams in their critical path at a large company.
• Demonstrated ability to drive adoption of your systems by writing integrations, removing friction for other teams, and measuring success by outcomes delivered.
• Experience building and maintaining complex AI-powered applications in production.
• Proficiency in one or more object-oriented languages (such as C#, C++, Go, 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, and ability to work with globally distributed teams.
• Experience with any of the cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must.
• Experience with database backends (e.g., Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.).

Nice to have

• Experience working with or managing production Kubernetes infrastructure.

Details

• Many roles allow flexibility in when and where work gets done; work mode varies by team and role.
• Applications are assessed on a rolling basis with no fixed deadline.