SR. RPA Architect

1 week ago


Dallas, United States QualiZeal Full time

About the jobAbout Qualizeal:Qualizeal is North America's Fastest-growing Independent Digital Quality Engineering Services company with a global headcount of 800+ Software Quality and Development Engineers. Trusted by 40+ global enterprises, QualiZeal has delivered over 200 successful projects—in the areas of Quality Engineering, Digital Engineering, Advisory and Transformation, and Emerging Technology Testing—earning an industry-leading client NPS score of 85. Founded on principles of delivery excellence, service orientation and customer delight, we are a fast-paced, culture-driven organization on a high-growth trajectory.Recognitions:· Great Place to Work Certified (2023,2024)· Major Contender in Quality Engineering by Everest Group (2023)· Economic Times Excellence Award (2023)· The Global Choice Award (2022)· NASSCOM Member· ISO 13485:2016 and ISO 9001:2015· Glassdoor Rating: 4.7Title: SR. RPA Architect Location: Dallas, TX (onsite)Duration: Long TermCandidate must have 15 years of expereince. Key ResponsibilitiesHands-on experience in RPA architecture, bot development, and end-to-end automation lifecycle management, with strong analytical and problem-solving skills.Design, develop, and implement scalable RPA solutions using Automation Anywhere.Collaborate with business analysts and process owners to identify and document automation opportunities.Lead the end-to-end development lifecycle, including requirements gathering, solution design, bot development, testing, deployment, and maintenance.Ensure automation processes are secure, reliable, and compliant with company standards.Create and maintain technical documentation, including process design documents (PDDs) and solution design documents (SDDs).Troubleshoot and resolve issues with existing bots and workflows.Mentor and guide junior RPA developers, providing code reviews and best practice guidance.Integrate RPA bots with other systems and technologies such as APIs, databases, and AI/ML services.Participate in process optimization and continuous improvement initiatives to enhance automation efficiency.Collaborate with IT and infrastructure teams to ensure smooth deployment and scalability of automation solutions.Ability to translate business needs into technical automation solutions.Detail-oriented, with a continuous improvement mindset.


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