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

UiPath • Bellevue, WA

3d

About The Position

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. 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. This team sits at the intersection of infrastructure, distributed systems, and data, powering platform observability, analytics, and insights across Automation Cloud. This is a role for engineers who care deeply about how systems behave in production—people who don’t just ship code, but understand and improve outcomes through data. You’ll help design and build a platform that increasingly integrates AI-driven capabilities into real-world workflows.

Requirements

• 4+ years of software engineering 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

Nice To Haves

• 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)

Responsibilities

• 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, pipelines, Snowflake) to support platform intelligence
• Apply strong engineering judgment by leveraging AI, deep problem understanding, and domain knowledge to solve complex challenges end-to-end
• Explore and contribute to how AI can be applied to real engineering and platform challenges

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees