Vinesh Aare

• Deployed and maintained UiPath infrastructure on AWS using CloudFormation and Terraform for consistent, repeatable environments. • Maintained golden machine images using Packer, ensuring systems and UiPath components run on the latest approved software versions. • Maintained image creation pipelines to deliver secure, consistent, and up-to-date environments across cloud deployments. • Integrated Packer with Terraform and CloudFormation to enable end-to-end infrastructure automation. • Reduced configuration drift and deployment time by standardizing pre-configured images for RPA and enterprise workloads. • Enforced security and compliance during image build processes. • Supported scalable UiPath deployments by delivering reliable, version-controlled base images for bots and servers. • Well versed with Infrastructure as Code (IAC) practices to standardize Dev/Test/Prod environments and reduce deployment errors. • Managed Cyber-ark on AWS, certificates, and performance tuning for UiPath Orchestrator. • Integrated users with UiPath for secure authentication and role-based access control. • Monitored bot executions, system performance, and AWS resources; performed troubleshooting and root cause analysis for production issues. • Optimized license utilization, infrastructure costs, and resource scaling using best practices. • Supported CI/CD pipelines for UiPath package deployment and infrastructure updates. • Ensured security, backup, disaster recovery, and compliance across cloud environments. • Collaborated with developers, cloud, and security teams to maintain a highly available and scalable RPA platform. • Actively participated in RPA design discussions with stakeholders and vendors to align automation solutions with business objectives while adhering to industry best practices like Hyper automation principles. • Designed and implemented test cases in UiPath Test Manager, linking them with workflows in Studio for quality assurance and traceability across requirements and defects. • Conducted AI analysis on data captured from business users using inbuilt ML models to extract actionable insights for process optimization. • Integrated workflows into the UiPath Re-Framework, ensuring modularity, scalability, exception handling, and transaction-level logging for enterprise-grade automation projects.