RPA Lead Developer

Minimum of five years of professional experience in Robotic Process Automation, intelligent automation, or a related software engineering discipline. Bachelor’s degree in Computer Science, Information Technology, Mathematics, Engineering, or a related STEM field. Strong programming, scripting, debugging, and software development capabilities. Demonstrated experience building and supporting complex, enterprise-grade RPA solutions. Practical experience integrating AI/ML technologies and cognitive capabilities into automated business processes. Experience providing technical leadership, reviewing automation code, mentoring developers, and maintaining development quality standards. Hands-on knowledge of RPA platform administration, orchestration, deployment management, and production operations. Experience working with UiPath Orchestrator and/or UiPath Automation Suite. Ability to translate business requirements into technical automation designs and identify opportunities for process optimization. Experience with automation testing, release management, production troubleshooting, exception handling, and ongoing solution maintenance. Understanding of automation governance, reusable component development, security controls, auditability, and operational risk management. Familiarity with Agile or SAFe delivery models, including backlog management, Kanban workflows, sprint planning, and release coordination. Knowledge of accessibility principles and Section 508 requirements for applicable automation deliverables.

Technical Skills and Tools RPA Technologies: UiPath and enterprise robotic process automation platforms Orchestration and Infrastructure: UiPath Orchestrator, UiPath Automation Suite Programming and Scripting: Python and relevant programming languages AI and Intelligent Automation: AI/ML integration, cognitive automation, intelligent workflow execution Document and Language Processing: OCR, NLP, document extraction, and text processing Process Automation: Workflow design, business process optimization, exception handling, and automated recovery Development Standards: Solution design, reusable frameworks, code reviews, testing, and technical documentation Production Operations: Bot monitoring, incident resolution, audit logging, access controls, and platform maintenance Project Delivery: Agile, SAFe, Kanban, backlog management, sprint planning, and release coordination Compliance and Governance: Automation standards, enterprise security requirements, and Section 508 accessibility