Principal Software Engineer at UiPath

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AutomationIndustries

Requirements

Bachelor’s/master's degree in engineering, Computer Science (or equivalent experience)
10+ years of software engineering experience, with 5+ years in distributed data systems
Proficiency in one or more system level programming languages (C# preferred, Java etc.) and willingness to learn new ones
Programming experience with .NET framework
Strong understanding of object-oriented programming, architectural design patterns, system design, and data structures & algorithms
Good grasp of multithreading, synchronization, asynchronous, cloud programming
Experience working with Cloud ecosystems such as Azure, AWS, GCP
Familiar with modern engineering practices, including agile development, CI/CD and DevOps
Experience with Docker, Kubernetes or other containerization technologies
Strong verbal and written communication skills, and experience in delivering critical time bound projects, managing timelines and team development
Proven track record of effectively collaborating with globally distributed teams
Ability to understand, communicate, provide feedback on, and drive complex technical decisions

Responsibilities

Architect & Design: Lead the technical vision, architecture, and implementation of the Data Fabric platform, ensuring scalability, reliability, and security
Distributed Systems: Design and optimize large-scale distributed data systems for ingestion, storage, processing, and querying
Technical Leadership: Mentor senior engineers, set best practices, and drive innovation in data engineering and infrastructure
Cross-functional Collaboration: Work closely with product managers, teams across other locations to innovate and develop best-in-class solutions
Performance Optimization: Identify bottlenecks, improve system efficiency, and ensure high availability for petabyte-scale data workloads
Standards & Governance: Establish engineering standards, code reviews, and CI/CD pipelines for high-quality deliverables
Ownership: Stay accountable for the software deliverables to meet all requirements of quality, security, scalability, modifiability, extensibility, testability etc
Emerging Technologies: Evaluate and integrate new tools (e.g., Apache Kafka, Spark, Flink, Iceberg, Kubernetes) to enhance the platform

Skills

Distributed Systems

Data Integration

Data Processing

Data Governance

Data Security

Scalability

Performance Optimization

CI/CD

Technical Leadership

Architecture

UiPath

Robotic process automation software solutions

About UiPath

UiPath provides robotic process automation (RPA) solutions that help businesses improve their efficiency by automating repetitive tasks. Their software allows organizations to create AI-driven workflows and manage these processes through cloud-based orchestration. This means that users can set up automated tasks that run without human intervention, which helps to lower operational costs and boost productivity. What sets UiPath apart from its competitors is its extensive marketplace for third-party integrations, allowing users to enhance their automation capabilities with additional tools and solutions. The main goal of UiPath is to empower organizations to streamline their operations and focus on more strategic activities by reducing the time spent on mundane tasks.

New York City, New YorkHeadquarters

2005Year Founded

$1,936.8MTotal Funding

IPOCompany Stage

Enterprise Software, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Flexible Work Hours

Remote Work Options

Risks

Rapid AI agent evolution may outpace UiPath's current RPA offerings.

High implementation costs and rigidity of traditional RPA tools could deter clients.

Emergence of platforms like Salesforce's Agentforce may provide competitive alternatives.

Differentiation

UiPath offers AI-driven workflows enhancing business efficiency through intelligent automation.

The company provides robust governance and multiple robots on a single virtual machine.

UiPath's marketplace for third-party integrations expands its ecosystem and customer solutions.

Upsides

UiPath leads the 2024 Everest Group automation assessment, showcasing industry leadership.

The launch of AI Trust Layer enhances governance of GenAI features across the platform.

Collaboration with The Bank of East Asia expands UiPath's enterprise automation solutions.

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