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UiPath's Platform Engineering team builds internal infrastructure and tooling that enables engineering teams across the company to move faster, more reliably, and with consistency. The team manages a hybrid cloud compute fleet—powering pipeline runs and internal workloads on UiPath's own datacenter using virtualization technologies—alongside centralized initiatives like Automated Product Sign-Off, performance testing, and standardization of software development practices.
In this role, you will develop software and tooling that makes these systems self-managing and easy to consume. You'll work on:
- Tooling that lets engineering teams consume datacenter compute as easily as a managed cloud service
- Services that provision, configure, and lifecycle-manage virtual machines on bare metal using virtualization technologies
- Compute backbone for pipeline runs, end-to-end testing, and automated testing at scale
- Exposing datacenter capacity as a single elastic fabric that internal workloads can schedule against on demand
- Automating the full host lifecycle as code: bring-up, hypervisor configuration, networking, storage, and decommissioning
- Improving reliability, observability, performance, security, and scale of the virtualization layer
- Contributing to centralized initiatives such as Automated Sign-Off and performance testing
- Building and maintaining tooling that standardizes software development practices across engineering teams
You'll be part of a fast-moving, growth-stage company that values curiosity, self-direction, generosity, and genuine collaboration.
REQUIREMENTS:
- 5+ years in a software engineering role using one or more mainstream languages (.NET / C# preferred; Java, Go, C, C++, Python, or Rust)
- Linux experience—comfortable operating and scripting on Linux
- Strong grasp of OOP, design patterns, concurrency, and data structures and algorithms
- Hands-on experience with cloud technologies (Azure preferred; AWS or GCP)
- Experience with virtualization (QEMU/KVM, libvirt, VMware, Hyper-V, or Xen equivalents)
- Well-versed with the full SDLC and able to produce well-tested, high-quality code
NICE TO HAVE:
- Experience running bare-metal fleets or datacenter infrastructure at scale
- CI/CD and test infrastructure (Azure DevOps, GitHub Actions) and how large test suites run at scale
- Familiarity with libvirt, cloud-init, PXE / network booting, and VM image pipelines; networking (VLANs, overlays, SDN)
- Infrastructure-as-code (Terraform, Ansible), Kubernetes, and distributed storage (Ceph, ZFS)
