Software Engineer II – Insights / Platform Analytics (Backend / Infrastructure)
About The Position
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
