Senior Software Engineer- Site Reliability

UiPath UiPath · Enterprise · Bangalore, India · Engineering

Senior Software Engineer for UiPath's Site Reliability team, focusing on building and scaling AI-powered SRE platforms and systems that ensure compliance, SLA promises, cloud access policies, cost governance, observability, and reliability. The role involves designing, engineering, and shipping these platforms as products, driving adoption through direct integration and support, and improving availability, scalability, and performance based on live site learnings. Requires strong software engineering fundamentals, experience with distributed systems, cloud infrastructure, and building AI-powered applications in production.

What you'd actually do

  1. 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.
  2. Participate in livesite monitoring rotations, handle escalations, and drive effective mitigations — aggressively reducing customer impact through broad, detailed, and effective postmortems.
  3. 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.
  4. 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.
  5. 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.

Skills

Required

  • 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 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++, 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.
  • 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 is a plus.

What the JD emphasized

  • Experience building large-scale, complex internal platforms adopted by multiple 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.

Other signals

  • AI-powered applications in production
  • SRE platform systems and capabilities with cutting-edge AI