Enterprise Automation Specialist

2 days ago

Surat, Gujarat, India beBeeCloud Full time ₹ 20,00,000 - ₹ 25,00,000

Job Opportunity:

We are seeking an innovative technologist with deep expertise in UiPath and cloud-native automation to lead the design and deployment of enterprise-scale RPA solutions. The ideal candidate will not only be a developer but also a strategic leader who can architect end-to-end automation frameworks, integrate advanced cloud capabilities, and drive transformational efficiency gains.

Key Responsibilities:

  • Lead the design and architecture of RPA solutions, ensuring scalability and maintainability.
  • Design reusable frameworks, best practices, and governance models for RPA implementations.
  • Collaborate with stakeholders to understand business requirements and translate them into robust RPA solutions.
  • Provide technical leadership throughout the development lifecycle and ensure adherence to best practices.
  • Integrate RPA with enterprise cloud environments, leveraging expertise in VDIs, Virtual Machines, and Kubernetes.
  • Document solution architecture and technical designs.
  • Conduct technical presentations, workshops, and knowledge-sharing sessions for internal and external stakeholders.
  • Implement attended & unattended automation with Citrix/legacy system automation.
  • Diagnose and resolve performance bottlenecks, exceptions, and deployment issues.
  • Optimize bot efficiency, resource utilization, and exception handling.
  • Ability to find alternate and propose solutions in case RPA feasibility / implementation challenges

Requirements:

  • At least 8–10 years' experience in RPA with proven Solution Architecture responsibilities.
  • Expertise in UIPath platform architecture and ecosystem—mandatory.
  • Hands-on practical knowledge of cloud infrastructure (e.g., Azure, AWS), virtualization concepts, VDIs, Virtual Machines, and Kubernetes (good to have) orchestration.
  • Clear track record of architecting and delivering large-scale RPA solutions.
  • Excellent communication, stakeholder management, and presentation skills—able to confidently articulate and sell technical concepts to both business and technical audiences.
  • Knowledge of OCR tools (ABBYY, Google Vision, Azure Form recognizer), AI/ML models & GenAI.
  • Should have knowledge on API implementation.
  • Strong problem-solving abilities and attention to detail.

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