RPA Automation Engineer

2 weeks ago


Bengaluru, Karnataka, India Anicalls (Pty) Ltd Full time
The candidate should be able to

  • Collaborate with a diverse set of business customers and drive consensus when conflicting requirements are identified
  • Identify and apply best practices, standards, and SDLC concepts to all functional areas.
  • Help architect end-to-end RPA solutions
  • Design, code, configure and test Automation logic in RPA environment
  • Partners with the product manager, Business System Analyst, and client team to optimize automation solutions and maximize process efficiency
  • Work closely across a variety of teams including product management, interaction designers, and backend engineers,
  • Leverage knowledge of continuous improvement methods to expand and improve upon automation,
  • Operate within the agile delivery and continuous improvement methodologies,
use APIs, build custom scripts, and leverage technologies like Optical Character Recognition and Natural Language Processing

  • Communicate effectively with all levels of staff to exchange information, ideas and answer inquiries
  • Use analytical and problem-solving skills to design efficient and robust automation logic
  • Participate in designing Automation scenario
  • Prepare test scenarios and perform unit tests
Candidate should have

  • 5-8 years of programming/systems analysis experience and 3-5 years of relevant experience with emphasis in process automation development
  • 5+ years of UiPath configuration and development experience
  • 5 + years of experience working on development, interacting with the client and other vendors; participation & support for UAT/Other testing phases, and support release management to the different environments.
  • strong communication, customer service, troubleshooting, and organizational skills and the ability to complete assigned work with minimal instruction and supervision
  • Experience with Citrix, Azure cloud environment.
  • Experience in designing and building automation bots in production (including the understanding of robotic support model)

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