Senior RPA Automation Developer - UiPath

Role Overview :

We are looking for an experienced Senior RPA UiPath Developer with strong hands-on expertise in UiPath, Python, Intelligent Automation, and AI/GenAI technologies. The candidate will be responsible for designing, developing, deploying, and supporting scalable automation solutions using UiPath Studio and Orchestrator.

The role involves working on end-to-end RPA solutions, including process automation, workflow development, Document Understanding, OCR, API integrations, and AI/ML-powered automation. The ideal candidate should also have experience with REFramework, SQL, Git, Azure DevOps, and CI/CD practices.

Key Responsibilities :RPA Development :

• Design, develop, test, deploy, and maintain enterprise-grade RPA solutions using UiPath.

• Develop scalable and reusable automation workflows using UiPath Studio.

• Build and manage automation processes through UiPath Orchestrator.

• Implement robust exception handling, logging, retry mechanisms, and transaction management.

• Follow UiPath development best practices, coding standards, and reusable component design.

• Analyze business processes and translate requirements into effective automation solutions.

• Perform debugging, troubleshooting, root-cause analysis, and production support for automation workflows.

UiPath & REFramework :

• Develop automation solutions using UiPath REFramework.

• Configure workflows for transaction-based processing and exception handling.

• Implement business and system exception handling mechanisms.

• Configure queues, assets, credentials, triggers, jobs, and processes in UiPath Orchestrator.

• Monitor automation jobs and resolve production failures.

• Optimize existing UiPath workflows for performance, scalability, and reliability.

Python & AI Integration :

• Develop Python scripts and components to support RPA and intelligent automation use cases.

• Integrate Python-based solutions with UiPath workflows.

• Build automation solutions leveraging AI/ML and Natural Language Processing (NLP).

• Work with Generative AI, Large Language Models (LLMs), and AI-powered automation use cases.

• Integrate OpenAI, Azure OpenAI, and other LLM-based services into automation workflows.

• Develop solutions for intelligent document processing, text extraction, classification, summarization, and information processing.

• Evaluate opportunities to combine traditional RPA with AI/GenAI capabilities.

Document Understanding & OCR :

• Design and implement document-processing automation using UiPath Document Understanding.

• Work with OCR technologies for extracting structured information from unstructured documents.

• Configure document classification, data extraction, validation, and processing workflows.

• Automate processing of invoices, forms, statements, reports, and other business documents.

• Improve extraction accuracy through appropriate validation and exception-handling mechanisms.

Intelligent Automation :

• Identify opportunities to automate repetitive and rule-based business processes.

• Design end-to-end intelligent automation solutions combining RPA, AI, NLP, OCR, and GenAI.

• Collaborate with business stakeholders to understand processes, pain points, and automation requirements.

• Contribute to automation solution architecture and technical design.

• Develop reusable automation components to accelerate future RPA implementations.

Database & API Integration :

• Work with SQL databases for data retrieval, updates, validation, and automation workflows.

• Develop SQL queries for automation-related data processing and reporting.

• Integrate RPA workflows with databases, APIs, web applications, and enterprise systems.

• Troubleshoot data and integration-related issues across automation workflows.

DevOps & CI/CD :

• Use Git for source-code management and version control.

• Work with Azure DevOps for code repositories, work items, build pipelines, and deployment processes.

• Support CI/CD implementation for UiPath automation solutions.

• Follow appropriate branching, code review, release, and deployment practices.

• Collaborate with DevOps and infrastructure teams to improve automation deployment processes.

Testing & Production Support :

• Perform unit testing, integration testing, regression testing, and UAT support for automation solutions.

• Troubleshoot automation failures and production incidents.

• Monitor deployed automations through UiPath Orchestrator.

• Analyze logs and identify root causes of application, workflow, or integration failures.

• Implement fixes, enhancements, and performance improvements.

• Maintain technical documentation, process documentation, and support guides.