Senior Software Engineer

As part of the UiPath IXP engineering team, you'll be at the forefront of intelligent document processing innovation, building and scaling the critical systems that allow our AI-powered extraction capabilities to operate seamlessly across use-cases, environments and document types.

You’ll be responsible for building and maintaining our backend services and infrastructure. This includes a highly available public API, data-aggregation services and real-time pipelines to support and scale both our specialized and generative AI extraction models.

The stack is written in Python and Rust with a few other programming languages mixed in. All services run in Docker and are orchestrated by Kubernetes.

We’re looking for someone who loves programming and computers, can learn quickly and work on multiple problems at the same time.

What you'll do at UiPath

• As a Senior Software Engineer you will work with the engineering team and product managers to design, engineer and operate our highly scalable, available and secure AI platform.
• Solve hard concurrency, performance, and distributed systems problems to ensure our platform is bulletproof for high-volume production workloads.
• Work with complex and demanding infrastructure requirements to maintain data security, reliability and compliance.
• Continuously work with other teams at UiPath across the globe to solve common problems, encourage efficiency and drive innovation.
• Participate in solutions across the stack, pushing your own knowledge boundaries and comfort zones.
• Occasionally interact with customer facing issues to better understand the customer perspective in all things we do.
• Contribute to our agile engineering practices, mentor other members of the team and help hire new people.
• Recent examples include: Migrating away from a legacy database system into a modern, scalable alternative. Re-architect storage logic to support secure and segregated customer encryption. Multi-cloud agnostic deployment infrastructure to allow for flexible GPU availability.

• A solid track record (5+ years) of engineering and architecting large-scale, distributed commercial services.
• Confidence with Python and willingness to learn new programming languages. Rust is a bonus!
• Strong, real-world experience with cloud ecosystems (Azure, AWS, or GCP) and containerization (Docker, Kubernetes, Helm). You should understand how production systems are deployed, monitored, and scaled.
• Experience with SQL and distributed DBMSes (e.g. Postgresql, CockroachDB, ElasticSearch).
• Knowledge and appreciation of statically typed languages and using type systems to catch bugs early, rather than at runtime.
• A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real-world problems with data structures and algorithms than your ability to recite them from a textbook.
• An opinion on what makes good code and good architecture, and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement.
• Working knowledge of GNU/Linux.
• You're a builder and a problem-solver at heart.