Job Description: UiPath Developer
Location: India(offshore)

Experience: 5+ years

Role Overview

We are seeking an experienced UiPath Developer/Support Analyst to manage and enhance enterprise automation technology stacks. In this offshore role, you will ensure the stable and reliable operations of bots, chatbots, and AI/ML-driven automations that support critical finance, billing, and operational workflows.

Key Responsibilities

• Production Support: Provide day-to-day support, proactive monitoring, and logging for UiPath bots and automation workflows to detect failures or performance degradation early.
• Incident Management: Investigate and resolve production incidents related to RPA and integrations, including conducting Root Cause Analysis (RCA) and implementing preventive measures.
• Enhancements & Maintenance: Execute bug fixes, version upgrades, and Minor Enhancements to ensure automations remain aligned with evolving business requirements and system changes.
• Critical Period Support: Provide dedicated support during month-end (MEC), quarter-end (QEC), and year-end close (YEC) periods to ensure business-critical automations run without disruption.
• Deployment & Documentation: Handle controlled production deployments and hotfixes, while actively maintaining runbooks, support playbooks, and operational documentation.

Must-Have Skills

• UiPath Platform: Deep hands-on experience with UiPath Studio, UiPath Orchestrator, and unattended/attended bot architecture.
• RPA Support & Optimization: Proven track record in monitoring bot performance, queue health, exception handling, and optimizing throughput to minimize production downtime.
• Incident Resolution: Strong troubleshooting skills for integration issues and API-driven automation failures.
• Operational Reporting: Ability to track and report critical metrics such as bot uptime, automation success rates, and SLA adherence.

Good-to-Have Skills

• Intelligent Automation: Exposure to Microsoft Power Platform or AI/ML integrations utilizing Python, Azure AI, or Amazon SageMaker.
• Generative AI Frameworks: Basic understanding of emerging AI agent frameworks such as CrewAI, LangChain, or LangGraph.
• Stakeholder Management: Experience acting as the primary point of contact between business stakeholders and engineering teams during critical operational periods.