Lead RPA developer- Python

Job Description

What Your Responsibilities Will Be Design automation solutions using Python, Robot Framework, and Avalaras in-house automation tool (Studio). Create efficient, scalable, and resilient workflows to automate complex business processes within the Tax Filing ecosystem. Lead a team of engineers, setting standards for code quality, test coverage, and automation design. Contribute to all phases of the SDLC planning, design, implementation, testing, deployment, and ongoing support. Foster a Quality First, Zero Defects culture by promoting a Shift Left approach and advocating for early testing practices. Collaborate with team members and partners to evaluate automation opportunities across different departments. Conduct process assessments and translate them into clear, applicable requirements for automation development. Provide ongoing support and maintenance for automation solutions, ensuring they remain and performant over time. Monitor solution performance, implementing enhancements or remediations. Work with platform engineering, product management, and departmental teams to align automation efforts with our goals. C ommunicate technical issues, and dependencies to partners, ensuring transparency and agreement. What Youll Need to be Successful Bachelors degree in Computer Science, Engineering, or a related field. 7+ years of hands-on experience in designing and implementing automation solutions, with at least 1 years in a technical leadership or lead engineer role . Expertise in Robotic Process Automation (RPA) tools such as UIPath, Robocorp, or Blue Prism. S cripting skills in Python or Robot Framework ; ability to guide best practices and code quality. Solid experience with web-based automation using Selenium and integration of automation with web applications. Proficiency in working with RESTful APIs , and handling JSON and XML data formats. Hands-on experience with CI/CD tools like Jenkins or GitLab for automation deployment and version control. Familiarity with Agile methodologies; within iterative,. Experience with driving efficiency, innovation, and continuous improvement in automation engineering.