Principal Software Engineer

Principal Engineer · Principal · Full Time

BangaloreUSD 220k – 320k2w ago
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Role

What you'll do.

Principal Software Engineer at UiPath leading the architecture and delivery of intelligent, autonomous testing platforms. You will drive technical vision for distributed backend systems, AI-powered agentic capabilities, and full-stack product experiences within the Test Cloud suite. This role requires deep expertise in distributed systems, cloud infrastructure, and backend architecture, combined with strong product sense and the ability to champion AI-first engineering practices across the organization.

Responsibilities

  • Architect & Lead Distributed Platform Systems: Own the technical vision, architecture, and implementation of large-scale distributed systems powering the Test Cloud platform. Oversee test orchestration, execution engines, results and reporting pipelines, ALM/CI integrations, AI/agentic services, and data layers. Ensure scalability, reliability, security, and maintainability are architected from the ground up for enterprise-grade testing at scale.
  • Set Multi-Quarter Technical Direction: Define strategic technical vision for Test Cloud and drive alignment with adjacent UiPath platform teams including Studio, Orchestrator, Automation Cloud, and AI platform. Represent Test Cloud engineering in customer architecture reviews, analyst engagements, and external technical forums to establish thought leadership in agentic testing.
  • Drive End-to-End Architectural Ownership: Make architectural decisions spanning the complete technology stack including API contracts, data flow, state management, real-time streaming behavior for test execution, and performance budgets across client and server layers. Ensure seamless end-to-end delivery without gaps between layers or hard handoffs.
  • Partner with Product & Design on Platform Strategy: Collaborate deeply with product management and design teams to shape what gets built, not just how. Propose technical solutions that unlock new product value, challenge scope and feasibility assumptions, and keep customer outcomes at the center of all architectural decisions.
  • Lead AI-Driven Testing Innovation: Own the technical vision for embedding agentic intelligence into test creation, execution, and analysis. Enable smarter test generation, self-healing automation, and autonomous quality workflows. Define how Test Cloud evolves as an AI-native platform and partner with AI platform teams to bring vision to production.
  • Champion AI-Powered Engineering Practices: Lead adoption of coding agents (Claude Code, GitHub Copilot, Cursor) and AI-assisted development workflows to improve team velocity and code quality. Define team norms for responsible AI tool usage, prototype emerging developer tooling, and measure tangible productivity improvements across the engineering organization.
  • Mentor Technical Leaders & Set Engineering Standards: Establish the engineering bar for the team and mentor senior and mid-level engineers. Conduct high-quality design and code reviews, drive adoption of best practices in architecture, testing, and CI/CD across the full technology stack. Develop internal talent and foster a culture of technical excellence.
  • Ensure Performance & Reliability at Scale: Identify and resolve system bottlenecks in mission-critical testing workloads. Define SLOs, build for high availability, and own reliability for large-scale test execution and high-throughput results processing. Establish observability standards using Prometheus, Grafana, distributed tracing, and modern monitoring practices.
  • Drive Platform Modernization Initiatives: Evaluate and integrate emerging technologies including serverless platforms, Apache Kafka, Apache Spark, Flink, Kubernetes, and other cloud-native tools. Drive adoption of modern engineering practices including agile development, infrastructure as code, containerization, and comprehensive automated testing.
  • Own Full-Stack Deliverable Quality: Take end-to-end ownership of software deliverables covering quality, security, scalability, modifiability, extensibility, and testability. Proactively manage timelines and dependencies across distributed global teams while maintaining accountability for outcomes.

Qualifications

What we look for.

Technical

  • Advanced Distributed Systems Architecture

    Expert-level understanding of distributed systems design patterns, microservices architectures, eventual consistency, and large-scale system orchestration. Experience designing systems that handle high throughput, low latency, and high availability requirements across cloud environments.

  • Backend Language Proficiency - C# Primary

    Deep proficiency in C# with extensive experience building production services on ASP.NET Core. Strong fundamentals in object-oriented programming, design patterns, SOLID principles, and advanced language features including async/await, LINQ, and reflection.

  • Cloud Infrastructure & Deployment

    Hands-on expertise with Azure (preferred) or AWS/GCP cloud platforms. Experience with serverless architectures, event-driven programming, Infrastructure as Code, cloud-native service deployment, and managing cloud costs and scalability.

  • Containerization & Orchestration

    Proficiency with Docker containerization and Kubernetes orchestration. Experience deploying and managing containerized microservices at scale, understanding of container networking, persistent storage, and cloud-native Kubernetes patterns.

  • Full-Stack Development Capabilities

    Ability to architect and contribute across backend services and frontend layers. Strong understanding of REST and GraphQL API design, API gateway patterns, component contracts, and basic UI integration. Experience with modern frontend frameworks, preferably Angular or React with TypeScript.

  • Multithreading & Asynchronous Programming

    Deep understanding of concurrent programming models, thread synchronization, asynchronous/await patterns, event-driven architectures, and cloud-native programming models. Experience optimizing for performance under concurrent load.

  • AI/LLM Integration & Agentic Systems

    Hands-on experience with Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), and agentic workflow design. Knowledge of AI-powered API automation and autonomous quality workflows. Understanding of prompt engineering and LLM integration patterns.

  • AI Coding Tools & Developer Productivity

    Demonstrated proficiency with AI coding agents including Claude Code, GitHub Copilot, and Cursor. Experience integrating these tools into engineering workflows, measuring productivity impact, and establishing team practices for responsible AI-assisted development.

  • Observability & Monitoring

    Expertise with observability tooling including Prometheus, Grafana, OpenTelemetry, and distributed tracing systems. Experience defining SLOs, building comprehensive monitoring and alerting strategies, and troubleshooting production issues at scale.

  • Software Testing Domain Knowledge

    Understanding of test automation frameworks (Playwright, Selenium), ALM tools (Jira, Azure DevOps), CI/CD platform integrations, and modern DevOps pipelines. Knowledge of functional, performance, and mobile testing methodologies.

  • Modern Engineering Practices

    Strong expertise in agile development methodologies, CI/CD automation, DevOps principles, Infrastructure as Code, automated testing frameworks, and code quality practices. Experience with modern source control, build systems, and deployment automation.

Education

  • Bachelor's Degree in Computer Science or Engineering

    Bachelor's degree in Computer Science, Software Engineering, or related field required. Demonstrates foundational knowledge in algorithms, data structures, computer architecture, and software engineering principles.

  • Advanced Degree Preferred

    Master's degree in Computer Science, Software Engineering, or related discipline highly valued. Advanced educational background strengthens candidate for principal-level architecture and technical leadership responsibilities.

  • Equivalent Professional Experience

    Substantial hands-on software engineering experience can substitute for formal degree requirements. Demonstrated mastery through shipped products, open-source contributions, or recognized technical leadership considered as equivalent qualification.

Experience

  • 13+ Years of Software Engineering Experience

    Extensive career spanning over 13 years building production software systems. Demonstrates deep technical knowledge, proven ability to navigate complex technical decisions, and substantial track record of shipping high-impact products.

  • 5+ Years Leading Distributed Systems & Backend Architecture

    Specialized expertise in designing and implementing large-scale distributed systems and backend architectures. Experience with system-wide performance optimization, reliability engineering, and architectural decisions impacting multi-team technical strategy.

  • Proven Track Record of Production Ownership

    Demonstrated history of taking products and platforms from concept through production at scale. Evidence of shipping pragmatically while maintaining code quality and scalability. Ownership mentality with accountability for outcomes, not just architectural designs.

  • Cross-Functional Technical Leadership

    Experience leading and mentoring senior engineers, conducting technical design reviews, and influencing technical strategy across multiple teams. Proven ability to communicate complex architectural concepts to both technical and non-technical stakeholders.

  • Full-Stack Contribution at Scale

    Real-world experience working across backend services and frontend layers on large-scale systems. Ability to make trade-off decisions across the entire technology stack with understanding of client and server performance implications.

  • Cloud-Native & Microservices Architecture

    Substantial hands-on experience architecting and deploying cloud-native microservices architectures. Understanding of containerization strategies, orchestration patterns, serverless design, and cloud-specific architectural considerations.

  • AI/ML Integration Experience

    Prior experience integrating LLMs, building AI-powered features, or working with machine learning systems in production. Understanding of how to effectively embed intelligent capabilities into software products.

Skills

Required

  • C# / ASP.NET Core Backend Development

    Expert-level proficiency in C# and ASP.NET Core. Production experience building high-performance, scalable web services and APIs. Deep knowledge of async/await, LINQ, dependency injection, and Entity Framework.

  • Distributed Systems Architecture & Design

    Mastery of distributed systems principles including consistency models, fault tolerance, load balancing, and scalability patterns. Experience with microservices architecture, service communication patterns, and eventual consistency design.

  • Cloud Platform Expertise - Azure Preferred

    Production experience with Azure cloud services including compute, storage, messaging, and networking. Knowledge of Azure App Service, Azure Kubernetes Service (AKS), Azure Service Bus, and related PaaS/IaaS offerings.

  • Kubernetes & Container Orchestration

    Hands-on expertise with Kubernetes for production deployments. Understanding of pods, services, deployments, persistent volumes, and cluster management. Experience troubleshooting and optimizing Kubernetes-based systems.

  • API Design & Integration

    Expertise designing REST APIs and GraphQL schemas. Understanding of API gateways, versioning strategies, contract-first design, and API security. Experience integrating with external systems and ALM/CI platforms.

  • System Design & Architecture

    Ability to design large-scale systems with consideration for scalability, reliability, maintainability, and security. Experience with architectural patterns, technology trade-offs, and long-term system evolution strategies.

  • Full-Stack JavaScript/TypeScript Fundamentals

    Solid understanding of modern frontend frameworks (Angular, React, or similar) with TypeScript. Ability to collaborate effectively on frontend-backend integration and make full-stack architectural decisions.

  • AI Coding Tools & LLM Integration

    Practical experience with Claude Code, GitHub Copilot, Cursor, or similar AI-assisted development tools. Understanding of how to leverage AI for code generation, refactoring, and productivity improvements while maintaining code quality.

  • Observability & Performance Monitoring

    Expertise with observability platforms including Prometheus, Grafana, and distributed tracing. Experience defining SLOs, building monitoring strategies, and investigating production performance issues.

  • DevOps & Infrastructure as Code

    Practical knowledge of CI/CD pipelines, containerization strategies, and Infrastructure as Code tooling. Experience automating deployment processes and implementing modern DevOps practices.

Preferred

  • GraphQL API Architecture

    Nice to have

    Experience designing and consuming GraphQL APIs. Knowledge of GraphQL federation, caching strategies, and N+1 query optimization. Understanding of API gateway patterns for GraphQL services.

  • Event-Driven & Streaming Architectures

    Nice to have

    Production experience with Apache Kafka, Apache Flink, or similar stream processing systems. Understanding of event sourcing, CQRS patterns, and designing systems around event streams.

  • LLM & Agentic System Design

    Nice to have

    Experience building systems that leverage LLMs, RAG (Retrieval-Augmented Generation), or autonomous agents. Understanding of prompt engineering, LLM fine-tuning, and integrating AI capabilities into production systems.

  • Test Automation & ALM Domain

    Nice to have

    Familiarity with test automation frameworks (Playwright, Selenium, Cypress), ALM tools (Jira, Azure DevOps), and CI/CD integrations. Understanding of quality assurance practices and modern testing methodologies.

  • Open Source Contribution & Community Leadership

    Nice to have

    Active contributions to open-source projects demonstrating technical expertise and community engagement. Speaking or writing about technical topics, fostering developer communities, or leading technical initiatives.

  • Serverless & Distributed Computing

    Nice to have

    Experience with serverless platforms (Azure Functions, AWS Lambda, etc.) and event-driven architecture patterns. Understanding of serverless cost optimization and design considerations.

  • Developer Productivity & Metrics

    Nice to have

    Experience measuring and improving developer productivity through tooling, process, or automation. Familiarity with DORA metrics or similar frameworks augmented by AI-assisted development practices.

  • Angular Framework Expertise

    Nice to have

    In-depth knowledge of Angular framework beyond basics. Experience with dependency injection, RxJS observables, reactive forms, and Angular change detection optimization.

  • Security & Compliance Architecture

    Nice to have

    Understanding of security principles in distributed systems including authentication, authorization, encryption, and secure API design. Knowledge of compliance requirements and security best practices in cloud environments.

  • Multi-Region & High Availability Design

    Nice to have

    Experience designing systems for multi-region deployment, disaster recovery, and business continuity. Understanding of geographic failover, data replication, and managing latency across regions.

Compensation

Pay and benefits.

Base·USD 220,000 – 320,000

Full posting

Original listing.

Life at UiPath

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?

Your mission

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

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.

Who you are — Builder’s mindset, product sense, and technical depth

You are a builder at heart. You take ideas from whiteboard to production and feel ownership for what ships, not just what you architect. You move with urgency, ship pragmatically, and bias toward working software over perfect designs—while still holding a high bar for quality, scalability, and craft. You think in systems, but you also have strong product sense: you understand who the customer is, why they care, and what makes a feature actually useful in their workflow. You partner naturally with product and design, push back when scope or direction is off, and propose technical ideas that unlock new product value. You see engineering excellence and product excellence as the same problem viewed from two sides.

What you'll do at UiPath

  • Architect & Lead Platform Systems: Own the technical vision, architecture, and implementation of large-scale distributed systems that power the Test Cloud platform—including test orchestration, execution engines, results and reporting pipelines, ALM/CI integrations, AI/agentic services, and the data and service layers that underpin agentic testing at enterprise scale. Ensure scalability, reliability, security, and maintainability are built in from the ground up.

    Strategic Technical Vision & Cross-Product Influence: Set the multi-quarter technical direction for Test Cloud and drive alignment with adjacent UiPath platform teams (Studio, Orchestrator, Automation Cloud, AI platform). Represent Test Cloud engineering in customer architecture reviews, analyst engagements, and external technical forums where appropriate.

    • End-to-End Architectural Ownership: Make architectural calls that span the full stack—API contracts, data flow, state management, real- time/streaming behavior for test execution, performance budgets on both client and server. Ensure seamless end-to-end delivery without hard handoffs or gaps between layers.

    • Product Partnership & Customer Impact: Partner deeply with product management and design to shape what we build, not just how. Bring technical ideas that unlock new product value, challenge assumptions about scope and feasibility, and keep customer outcomes at the center of architectural decisions.

    • Innovate at the Intersection of AI + Testing: Own the technical vision for embedding agentic intelligence into test creation, execution, and analysis—enabling smarter test generation, self-healing automation, and autonomous quality workflows. Define how Test Cloud evolves in an AI-native world and partner with AI platform teams to bring that vision to production.

    • AI-Powered Engineering: Champion the use of coding agents (e.g., Claude Code, GitHub Copilot, Cursor) and AI-assisted workflows to measurably improve team velocity and code quality. Define team norms for responsible and effective AI tool usage. Prototype and evaluate emerging AI developer tooling and advocate for adoption where it delivers real leverage.

    • Technical Leadership & Mentorship: Set the engineering bar for the team. Mentor senior and mid-level engineers, conduct high-quality design and code reviews, and drive adoption of best practices in architecture, testing, and CI/CD across the full stack.

    • Performance & Reliability: Identify and resolve system bottlenecks, define SLOs, and build for high availability. Own reliability for mission-critical testing workloads, including large-scale test execution and high-throughput results processing. Establish observability standards using tools like Prometheus, Grafana, and distributed tracing.

    • Platform Modernization: Evaluate and integrate emerging technologies (serverless platforms, Apache Kafka, Spark, Flink, Kubernetes, etc.) to continuously evolve the platform. Drive adoption of modern engineering practices including agile development, infrastructure as code, and automated testing.

    • Ownership & Accountability: Own software deliverables end-to-end—quality, security, scalability, modifiability, extensibility, and testability. Proactively manage timelines and dependencies across distributed teams.

     

What you'll bring to the team

  • Bachelor's/Master's degree in Engineering, Computer Science, or equivalent experience.

    • 13+ years of software engineering experience, with 5+ years focused on distributed systems and backend architecture.

    • Builder’s mindset: Demonstrated track record of taking products and platforms from concept to production at scale. Bias for shipping, pragmatic decision-making, and ownership of outcomes—not just designs.

    • Product sense: Strong customer empathy and product judgment. Ability to translate customer problems into product and architectural opportunities, and to partner effectively with product and design on what to build.

    • Strong proficiency in one or more modern backend languages—C# (preferred), Java, Go, or similar, with deep experience building services on frameworks like ASP.NET Core.

    • Full-stack experience: ability to work across backend services and frontend layers (REST/GraphQL APIs, basic UI integration, component contracts).

    • Deep understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms.

    • Experience with Angular (preferred), React, TypeScript, or other modern frontend frameworks for deeper full-stack contribution.

    • Strong grasp of multithreading, asynchronous programming, synchronization, and cloud-native programming models.

    • Hands-on experience with cloud ecosystems: Azure preferred; AWS or GCP also valuable. Experience with serverless and event-driven architectures is highly desirable.

    • Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.

    • Hands-on experience with AI coding tools and coding agents (e.g., Claude Code, GitHub Copilot, Cursor, or similar) and a demonstrated ability to integrate these into daily engineering workflows.

    • Experience driving team adoption of AI-powered productivity tools—setting norms, measuring impact, and iterating on usage patterns.

    • Familiarity with modern engineering practices: agile development, CI/CD, DevOps, and infrastructure as code.

    • Excellent verbal and written communication skills; proven success collaborating with globally distributed teams and managing complex, time-bound deliverables.

    • Ability to understand, communicate, and drive complex technical decisions with stakeholders at all levels.

Nice to Have

• Understanding of LLMs, RAG, AI-powered API automation, and agentic workflow design—particularly applied to test generation, self-healing automation, or autonomous quality.

• Experience with the software testing domain—test automation frameworks (Playwright, Selenium), ALM tools (Jira, Azure DevOps), or CI/CD platform integrations.

• Experience building or consuming GraphQL APIs; familiarity with API gateways and service mesh patterns.

• Knowledge of observability tooling: Prometheus, Grafana, OpenTelemetry, distributed tracing.

• Contributions to developer tooling, internal platforms, or open-source projects.

• Experience evaluating and implementing AI-driven developer productivity metrics (e.g., DORA metrics augmented by AI tooling adoption).

Why UiPath

At UiPath, we believe work should be more human. As the leader in Agentic Automation, we're building the platform that will define the next era of enterprise software. You'll work with a world-class team, on problems that matter, using the latest AI and automation technology—and you'll have the agency to shape how we build as a company.

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.

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