Senior Software Engineer- Document Understanding

UiPath2 days ago

Location

Cluj

Type

Full Time

Salary

USD 140,000 – 200,000

Level

Senior

Role

Senior Software Engineer

Posted

Jul 17, 2026

Full TimeSenior

The role

Summary

Senior Software Engineer specializing in Document Understanding at UiPath, responsible for architecting and developing scalable cloud-based machine learning models that enable intelligent document processing including classification, splitting, and data extraction. This role requires 5+ years of experience in building large-scale commercial applications with expertise in cloud platforms, containerization, and modern DevOps practices, working across globally distributed teams to deliver reliable, performant solutions within UiPath's industry-leading RPA automation platform.

What you'll do

Develop Robust Cloud-Based Components: Engineer and implement reliable, production-grade components for the Document Understanding platform that enable clients to train, deploy, and consume machine learning models at scale. Focus on creating performant code architectures that handle large-volume document processing with minimal latency and maximum throughput.

Optimize Performance and Identify Bottlenecks: Conduct systematic performance analysis and profiling of the platform to identify bottlenecks, memory leaks, and inefficiencies. Design and implement optimization solutions that improve scalability, reduce computational overhead, and ensure the system maintains high performance under peak loads and diverse usage patterns.

Engineer Document Understanding Solutions: Apply advanced engineering principles to solve complex problems in document intelligence, including custom model training, document classification, intelligent splitting, and semantic data extraction. Implement algorithms that leverage machine learning frameworks while maintaining system reliability and performance.

Collaborate with Distributed Engineering Teams: Partner with software engineers across multiple geographic locations and business units to design, develop, and evolve best-in-class document understanding capabilities. Ensure seamless integration across diverse environments, products, and third-party systems through effective technical communication and architectural alignment.

Maintain and Enhance Code Quality Standards: Implement comprehensive testing strategies including unit tests, integration tests, and end-to-end automation scripts. Establish coding standards, conduct code reviews, and continuously improve system maintainability, organization, and architectural quality to support long-term platform sustainability.

Drive Impact on Platform Reliability and Scalability: Direct work ensures measurable improvements to the platform's scalability, quality, performance, and reliability. Actively contribute to architecture decisions, technical debt management, and system design that supports UiPath's mission to deliver transformative automation solutions to enterprise customers.

What we look for

Technical

System-Level Programming LanguagesProficiency in one or more system-level languages such as C#, Java, Python, or Rust with demonstrated ability to write performance-critical code and select appropriate languages for different components of the platform.

Cloud Platform ExpertiseHands-on experience architecting and deploying applications on major cloud ecosystems including Azure, AWS, or GCP. Knowledge of cloud-native design patterns, serverless computing, managed services, and cloud security best practices.

Containerization and OrchestrationStrong experience with Docker for containerization and Kubernetes or similar orchestration technologies for managing containerized applications at scale in production environments.

Object-Oriented Programming and Design PatternsDeep understanding of OOP principles, SOLID design principles, and architectural patterns such as MVC, microservices, event-driven architecture, and design patterns (Factory, Strategy, Observer, etc.) for building maintainable, scalable systems.

Concurrent and Asynchronous ProgrammingComprehensive knowledge of multithreading, thread synchronization, async/await patterns, reactive programming, and distributed systems concepts to build responsive, scalable applications that handle concurrent operations efficiently.

Data Structures and AlgorithmsDeep understanding of fundamental data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms with ability to analyze time and space complexity and select optimal solutions for performance-critical operations.

Modern Engineering Practices and DevOpsProficiency in agile development methodologies, continuous integration and continuous deployment (CI/CD) pipelines, version control systems, and DevOps principles for automated testing, monitoring, and production deployment.

Education

Bachelor's Degree in Computer Science or Related FieldFormal education in Computer Science, Software Engineering, or equivalent technical discipline providing foundational knowledge in algorithms, data structures, and software engineering principles.

Experience

Large-Scale Enterprise Software DevelopmentProven track record of 5+ years architecting and engineering world-class, large-scale commercial applications and services, demonstrating experience moving from individual contributor to technical problem-solver on complex systems.

Globally Distributed Team CollaborationExperience working effectively with globally distributed engineering teams across multiple time zones and locations, managing asynchronous communication, code reviews, and collaborative architectural decisions.

Cloud Application Development and DeploymentDemonstrated experience designing, building, and deploying production applications on cloud platforms with exposure to cloud scalability patterns, cost optimization, and managing infrastructure as code.

Skills

Required skills

C# or Java ProgrammingExpert-level proficiency in C# or Java for building enterprise-grade applications with strong understanding of language-specific frameworks, libraries, and runtime environments.

Cloud ArchitectureAbility to design scalable, resilient cloud architectures leveraging services from Azure, AWS, or GCP with understanding of networking, storage, compute, and managed services.

Kubernetes and DockerProduction-level expertise with containerization using Docker and container orchestration with Kubernetes including deployment strategies, resource management, and troubleshooting.

Architectural Design and System DesignAbility to design complex systems at scale, make technology trade-offs, and architect solutions that balance performance, scalability, maintainability, and cost considerations.

Asynchronous and Concurrent ProgrammingDeep expertise in writing thread-safe, asynchronous code with understanding of deadlocks, race conditions, and concurrency patterns in cloud-native applications.

Automated Testing and CI/CDExperience implementing comprehensive test suites, designing CI/CD pipelines, and establishing quality gates to ensure code reliability and maintainability in production environments.

Technical Communication and CollaborationStrong ability to articulate complex technical concepts, document architectural decisions, conduct effective code reviews, and collaborate across distributed teams with different expertise levels.

Nice to have

.NET Framework and C# EcosystemDeep familiarity with the .NET framework, C# language features, and the broader Microsoft technology ecosystem including Entity Framework, ASP.NET Core, and Windows integration capabilities.

Document Processing and OCR TechnologiesExperience working with document processing systems, optical character recognition (OCR) engines, and document intelligence platforms that extract meaning from unstructured document data.

Windows Presentation Framework (WPF)Practical experience building desktop applications using WPF for creating rich user interfaces and understanding desktop application architecture patterns.

Full-Stack DevelopmentAbility to work across the entire technology stack from database design and backend services to frontend interfaces, providing end-to-end ownership and architectural perspective.

Machine Learning Model IntegrationExperience integrating machine learning models into production systems, understanding model serving platforms, and optimizing inference performance for real-time document processing.

Robotic Process Automation (RPA) KnowledgeFamiliarity with RPA concepts, workflow automation, and understanding how document understanding integrates with broader automation solutions and enterprise integration patterns.

Compensation & benefits

Salary

USD 140,000 – 200,000 (annual)

Stock options

Available

Benefits

Professional Development and Learning

Access to continuous learning opportunities through engineering conferences, training programs, and knowledge-sharing forums within a collaborative, fast-thinking growth company culture.

Flexible Work Arrangements

Many roles offer flexibility in when and where work gets done, with options for hybrid, office-based, or remote work depending on team needs and business requirements.

Global Exposure and Impact

Opportunity to work on world-class enterprise software that powers digital transformation at scale, directly impacting how enterprises automate their business processes globally.

Collaborative Engineering Culture

Work with talented engineers across multiple geographic locations in an environment that values curious, self-propelled individuals who are generous with knowledge and genuine in their interactions.

Inclusive and Diverse Workplace

UiPath is committed to providing equal opportunities and reasonable accommodations for employees regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or military/veteran status.

Interview process

1
Application Review and Screening — Your application will be assessed on a rolling basis by the hiring team. Applications are evaluated for relevant experience with enterprise systems, cloud platforms, and demonstrated ability to architect large-scale solutions.
2
Technical Screening Interview — Initial phone or video screening with an engineer to discuss your background with cloud technologies, containerization, and experience building scalable systems. Be prepared to discuss specific projects demonstrating system design and optimization.
3
Technical Depth Interview — In-depth technical discussion covering architectural design decisions, approaches to performance optimization, and problem-solving methodology. May include discussion of design patterns, concurrency challenges, and cloud platform-specific considerations.
4
Hands-On Technical Assessment — Potential coding assessment or system design exercise focusing on real-world scenarios related to document processing, microservices design, or cloud architecture. Demonstrates ability to think through complex technical problems.
5
Team and Culture Fit Interview — Conversation with team members to assess collaboration style, communication effectiveness, and alignment with UiPath's values of curiosity, self-propulsion, and genuine teamwork in a globally distributed environment.
6
Leadership or Stakeholder Discussion — Opportunity to discuss role impact, technical vision, and how your work contributes to UiPath's mission to deliver transformative automation solutions. May involve discussion of cross-functional collaboration and project priorities.