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Bengaluru, Karnataka, India
Hybrid
The people at UiPath believe 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 are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
UiPath is the leader in the Agentic Automation space. As a Principal Software Engineer on the UiPath Test Cloud team, you will drive the architecture and delivery of platform systems—spanning backend services, AI and agentic capabilities, and end-to-end product experiences—that power the next generation of intelligent, autonomous testing. You will bring deep backend expertise in distributed systems and cloud infrastructure while operating with strong full-stack judgment to shape architectural decisions across the entire engineering stack. Beyond your technical contributions, you will champion the adoption of AI-powered developer tools and coding agents to amplify team productivity—shaping how the engineering organization builds software in an AI-first future.
UiPath Test Cloud is a tightly integrated bundle of product offerings that consolidates the testing lifecycle through deep integrations with leading test management and ALM tools, as well as UiPath’s core automation platform. It enables customers to create, manage, and execute manual and automated tests —both standalone and as part of modern DevOps pipelines—while providing rich reporting and insights across the testing process.
What sets UiPath Test Cloud apart is its industry-leading, AI-powered and agentic testing capabilities. UiPath is recognized as a leader in Agentic Testing by major industry analysts—underscoring the platform’s innovation and maturity in intelligent, autonomous testing. The platform leverages LLM- powered and autopilot capabilities to accelerate test creation, improve test coverage, enable self-healing and adaptive tests, and significantly reduce manual effort across the testing lifecycle.
The Test Cloud suite offers broad and deep coverage across multiple testing domains, including functional, performance, and mobile testing, helping enterprises deliver high-quality software at scale.
As part of the Test Cloud engineering team, you will work with a diverse and modern technology stack, including .NET Core, C#, Kubernetes, Docker, Azure, Large Language Models (LLMs), and Angular. The team collaborates closely with product management to ideate, design, and deliver features end- to-end—owning everything from architecture and implementation to automated testing, product quality, and both cloud and on-premises
deployment solutions.
As a cloud-first offering, the team continuously monitors, scales, and optimizes highly available cloud services. In addition, the team builds and maintains integrations, extensions, and plugins for ALM and CI/CD ecosystems, while continuously innovating to advance AI-driven, autonomous testing capabilities across the entire Test Cloud portfolio.
Technical Leadership & Strategy
Drive Innovation and lead with Customer first mindset.
Define and execute the engineering vision, and architectural decisions facross backend, frontend, and AI products
Drive architectural decisions across backend, frontend, and AI systems.
Establish engineering standards, design principles, and operational best practices for AI-native product development.
AI Systems & Innovation
Lead the development of production-grade AI applications leveraging LLMs, agents, tool-calling frameworks, and workflow orchestration systems.
Drive adoption of modern AI engineering practices including evaluation frameworks, regression testing, observability, and human-in-the-loop workflows.
Guide teams in designing agentic systems utilizing LangGraph, LangChain, or equivalent orchestration frameworks.
Champion experimentation and rapid prototyping while ensuring production readiness and scalability.
Organizational Leadership
Partner closely with Product, Design, Data Science, and Business stakeholders to align technology investments with strategic objectives.
Build, mentor, and scale high-performing engineering teams across multiple product areas.
Foster a culture of ownership, innovation, accountability, and customer obsession.
Delivery Excellence
Oversee end-to-end execution of complex, cross-functional initiatives.
Drive engineering productivity through AI-powered development tools and modern software development practices.
Ensure operational excellence through robust CI/CD pipelines, observability, reliability engineering, and cloud-native architectures.
Manage technical risk, architecture evolution, and platform scalability as products grow.
Bachelor's or master's degree in computer science, Engineering, or a related field, or equivalent practical experience.
15+ years of software engineering experience, including 8+ years leading engineering teams and large-scale technical programs.
Proven experience building and scaling enterprise-grade distributed systems and cloud-native platforms.
Strong expertise in one or more modern programming languages such as Python, C#, Java, or JavaScript.
Hands-on experience developing production AI systems using LLMs, agents, orchestration frameworks, and evaluation methodologies.
Experience designing systems that combine deterministic software architectures with probabilistic AI capabilities.
Strong understanding of system design, software architecture, distributed computing, concurrency, and scalability patterns.
Experience with modern frontend technologies such as React and TypeScript.
Deep knowledge of cloud platforms including Azure, AWS, or GCP.
Experience with Docker, Kubernetes, microservices, and modern DevOps practices.
Demonstrated success driving engineering transformation and organizational adoption of AI-powered development tools.
Exceptional communication and stakeholder management skills, with the ability to influence executive-level decisions.
Preferred Qualifications
Experience in Healthcare Technology, Financial Technology, Procurement Technology, or other enterprise SaaS domains.
Experience with Retrieval-Augmented Generation (RAG), vector databases, retrieval systems, and citation-grounded AI workflows.
Knowledge of applied machine learning techniques including classification, anomaly detection, ranking, and predictive modeling.
Experience building evaluation-driven AI systems and quality measurement frameworks.
Familiarity with large-scale data platforms such as Snowflake, data warehouses, and analytical ecosystems.
Experience leading globally distributed engineering organizations.
Leadership Competencies
Builder mindset with a passion for turning ideas into scalable products.
Strong strategic thinking balanced with hands-on technical depth.
Ability to operate effectively in ambiguous and rapidly evolving environments.
Data-driven decision maker with strong analytical problem-solving capabilities.
Proven track record of influencing across organizations and driving business outcomes through technology.
Customer-centric leader focused on delivering measurable impact and innovation.
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 passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
