Principal Software Engineer

UiPath; Bengaluru; On-site; INR 2,500,000 - 3,500,000; Full time

Benefits offered by this job

Flexible work arrangements

Diversity and inclusion initiatives

Job summary

A leading automation company is seeking a Principal Software Engineer (Backend-Focused) to drive the architecture and delivery of enterprise-grade governance systems. Responsibilities include mentoring engineers, championing AI-powered tools, and leading full-stack development. The ideal candidate will have extensive software engineering experience and a strong background in distributed systems, alongside a commitment to best engineering practices. This role offers flexibility in work arrangements and values diverse backgrounds.

Qualifications

• 13+ years of software engineering experience, with 5+ years focused on distributed systems and backend architecture.
• Strong proficiency in one or more system-level languages.
• Experience driving team adoption of AI-powered productivity tools.

Responsibilities

• Drive the architecture and delivery of backend systems.
• Collaborate with cross-functional teams to achieve project goals.
• Own software deliverables end-to-end and ensure high reliability.

Skills

Backend expertise in distributed systems

Full-stack development

Proficiency in JavaScript, C#, or Java

Experience with AI coding tools

Cloud ecosystem experience (Azure, AWS, GCP)

Familiarity with modern engineering practices

Education

Bachelor’s/Master’s degree in Engineering, Computer Science

Tools

Docker

Kubernetes

React

TypeScript

Job description

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 Agentic Automation. As a Principal Software Engineer – Full Stack (Backend-Focused) on the Agentic Governance Platform team, you will drive the architecture and delivery of backend systems that enable enterprise‑grade governance, control, and observability across agentic automation workflows. You will bring deep backend expertise in distributed systems and cloud infrastructure while maintaining strong full‑stack fluency to collaborate 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.

What you’ll do at UiPath

• Architect & Lead Backend Systems: Own the technical vision, architecture, and implementation of large‑scale distributed backend systems that power the Agentic Governance Platform – including policy enforcement, audit logging, access control, and workflow observability at enterprise scale. Ensure scalability, reliability, security, and maintainability are built in from the ground up.
• Full-Stack Fluency: Contribute meaningfully across the stack – from designing efficient REST/GraphQL APIs and microservices to collaborating on frontend integrations. Ensure seamless end‑to‑end delivery without hard handoffs or gaps between layers.
• AI-Powered Engineering: Champion the use of coding agents (e.g., GitHub Copilot, Cursor, Claude Code) 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 backend architecture, testing, and CI/CD.
• Cross‑Functional Collaboration: Partner closely with product managers, designers, frontend engineers, and platform teams across geographies. Bridge the gap between backend complexity and user‑facing impact – translating governance and compliance requirements into robust technical solutions.
• Performance & Reliability: Identify and resolve system bottlenecks, define SLOs, and build for high availability. Own reliability for mission‑critical governance workloads. Establish observability standards using tools like Prometheus and Grafana.
• Platform Modernization: Evaluate and integrate emerging technologies (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.
• Innovate at the Intersection of AI + Governance: Collaborate with AI platform teams to embed agentic intelligence into governance services and APIs – enabling smarter policy enforcement, anomaly detection, and compliance automation. Help define how the Agentic Governance Platform evolves in an AI‑native world.

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.
• Strong proficiency in one or more system-level languages – Javascript / C# / Java etc.
• 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 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, AWS, or GCP.
• Proficiency with containerization and orchestration: Docker, Kubernetes, or equivalent.
• Hands‑on experience with AI coding tools and coding agents (e.g., GitHub Copilot, Cursor, Claude Code, 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.

#LI-VR1

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 privacy policy.