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Senior Software Engineer, Site Reliability

UiPath· Engineering
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Hybrid (Bellevue)$160k - $210kFull-timePosted 2mo ago

About the role

Senior Software Engineer focused on building and operating UiPath's Site Reliability Engineering (SRE) platform, with emphasis on AI-powered capabilities, live-site reliability, and cross-team adoption. Ships products used by other engineering teams, drives postmortems and improvements, and embeds reliability into systems and processes.

Responsibilities

  • 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. Generate (or codify existing) best practices and ensure they are followed widely across UiPath — embedded 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.
  • Participate in and influence process improvements and best practices across the engineering organization.

Qualifications

  • 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 (e.g., C#, C++, Go, Python).
  • Solid computer science fundamentals; deep understanding of data structures, algorithms, multithreading, synchronization, asynchronous patterns, and cloud programming.
  • Experience with service-oriented and microservice 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 production Kubernetes infrastructure is a plus.
  • Experience with cloud providers (Azure, AWS, GCP) and managed services (AKS, GKE, etc.) is a must.
  • Experience with database backends (Azure SQL, CosmosDB, Azure Data Lake, Power BI, MongoDB, MySQL, DynamoDB, etc.)

Skills

Required:Object-oriented programmingDistributed systemsAI/ML-powered applicationsCloud platforms
Nice to have:Kubernetes

Benefits

  • Not explicitly listed in the description
Last updated Oct 22, 2026. Interested? Apply on the company site.

About UiPath

Empower your business with UiPath automation platform. Leverage agentic automation to drive AI transformation, streamline workflows, and boost productivity.

Empower your business with UiPath automation platform. Leverage agentic automation to drive AI transformation, streamline workflows, and boost productivity.

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