Software Engineer II – Insights / Platform Analytics (Backend / Infrastructure)

Requirements

• LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works.
• Could that be you? Your Mission At UiPath’s Insights / Platform Analytics team, you’ll work at the core of our cloud platform—building the systems that enable deep visibility, intelligence, and data-driven decision-making at scale.
• You’ll help design and build a platform that increasingly integrates AI-driven capabilities into real-world workflows.
• What you’ll do at UiPath - Design and build backend systems and distributed services that power large-scale cloud infrastructure - Develop automation for provisioning, deployment, and lifecycle management of cloud resources - Build and operate systems that enable platform-level analytics, observability, and insights at scale - Contribute to Kubernetes-based infrastructure, including operators, controllers, and platform services - Work with or grow into data platform integrations (e.g., warehouses,
• experience building backend or distributed systems - Strong fundamentals in data structures, algorithms, and system design -
• Experience working with Kubernetes (K8s), containers, and cloud-native systems -
• Experience with cloud infrastructure (Azure preferred, AWS or GCP acceptable) - Strong proficiency in C# (primary), with additional
• experience in Python and/or Scala -
• Experience with infrastructure as code (e.g., Terraform) - Demonstrated ability to own production systems, debug issues, and drive them to resolution Preferred / High-Impact Signals -
• Experience building or operating large-scale distributed systems or control planes - Exposure to data platforms (e.g., Snowflake, data warehouses, ETL pipelines) or strong desire to ramp quickly - Familiarity with CNCF ecosystem tools (e.g., Istio, Prometheus) -
• Experience building platform primitives (operators, controllers, orchestration layers) - Curiosity or hands-on
• experience applying AI/ML to engineering problems (e.g., automation, observability, developer productivity) What sets you apart - You think in terms of systems, not just services - You care about how things run in production, not just how they’re built - You take ownership beyond your scope—you fix what’s broken, even if it’s not “your” code - You’re curious and pragmatic about AI, and interested in applying it to real-world engineering challenges - You move with urgency and bias toward action, without
• The systems you build will directly impact how enterprises understand, optimize, and scale automation and AI across their most critical workflows. #LI-MH1 Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please.