Uipath Developer

Uipath Developer2 Job Description: Ui. Path Developer Location: India(offshore) Experience: 5+ years Role Overview We are seeking an experienced Ui. Path 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

Provide day-to-day support, proactive monitoring, and logging for Ui. Path 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 Ui. Path Platform: Deep hands-on experience with Ui. Path Studio, Ui. Path 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 Sage.

Maker. Generative AI Frameworks: Basic understanding of emerging AI agent frameworks such as CrewAI, Lang. Chain, or Lang. Graph. Stakeholder Management: Experience acting as the primary point of contact between business stakeholders and engineering teams during critical operational periods.