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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
