Principal Software Engineering Manager, IXP

Life at Ui Path

The people at UiPath believes 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 is curious, self‑propelled, generous, and genuine. People who loves being part of a fast‑moving, fast‑thinking growth company. And people who cares—about each other, about UiPath, and about our larger purpose.

Could that be you?

As a Principal Software Engineering Manager in the UiPath IXP organization, you will shape the technical direction of our intelligent document processing platform and the systems powering AI‑driven extraction at enterprise scale. You will also directly manage a team of engineers
, combining hands‑on technical leadership with people management responsibility.

You will provide technical leadership, architectural vision, and strategic ownership across multiple services — influencing how we design, build, and operate distributed AI systems globally. You will guide the evolution of backend services, real‑time pipelines, and platform infrastructure supporting specialized and generative AI models.

A key part of this role is guiding the technical strategy for applied AI systems — helping the organization decide when to leverage external foundational models versus internally developed or self‑hosted models, balancing performance, cost, privacy, and long‑term platform differentiation.

• Define and drive the long‑term architectural direction for core backend and platform systems supporting enterprise‑scale AI workloads.

• Identify systemic technical risks and opportunities, leading initiatives that improve scalability, reliability, and developer productivity across teams.

• Establish engineering standards, architectural principles, and best practices adopted across the organization.

• Partner with product and engineering leadership to translate business strategy into technical execution.

• Collaborate with research teams to translate experimental models into reliable production systems.

• Drive architectural decisions around hybrid AI systems combining deterministic logic, classical ML, and generative AI.

• Define patterns for safe, observable, and scalable model deployment and inference.

• Ensure AI platform evolution aligns with enterprise customer expectations around security, privacy, and reliability.

• Directly manage 5–10 engineers, owning their career development, performance reviews, goal‑setting, and day‑to‑day coaching.

• Foster a high‑performing, inclusive team culture grounded in psychological safety and engineering excellence.

• Drive hiring, onboarding, and retention for your team; participate in calibration and compensation planning.

• Remove blockers, balance workload, and ensure team health alongside delivery commitments.

• 7+ years designing and operating large‑scale distributed commercial systems.

• 2+ years of experience directly managing software engineers
  , including performance management, career development, and team building.

• Demonstrated impact beyond a single team, influencing architecture or engineering direction across multiple groups.

• Deep expertise in backend systems, distributed architectures, concurrency, and performance optimization.

• Strong experience with cloud ecosystems (Azure, AWS, or GCP) and container orchestration (Docker, Kubernetes, Helm).

• Proficiency in Python or comparable backend languages;
  Rust or other systems languages a strong plus.

• Experience with distributed databases and data platforms (e.g., Postgre
  
  SQL, Cockroach
  
  DB, Elasticsearch).

• Strong architectural judgment and ability to evaluate trade‑offs across scale, complexity, and delivery timelines.

• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences and coach engineers at varying levels of seniority.

Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and…