Robotic Process Automation (RPA) Specialist at Stratostaff

DUTIES AND RESPONSIBILITIES

• Analyse and assess automation opportunities, determining feasibility and supporting testing, deployment, and ongoing production support.
• Design, develop, and maintain RPA workflows and reusable components in accordance with approved RPA standards, methodologies, and security policies.
• Engage stakeholders to gather and document detailed functional and non-functional requirements, including licensing, data protection, and security considerations.
• Create and execute test cases covering functional, negative, exception-handling, and performance scenarios.
• Provide end-to-end lifecycle support for RPA solutions, ensuring timely delivery using agile methodologies.
• Monitor, administer, and support automated processes and digital workers to ensure high availability and operational efficiency.
• Collaborate with Technology Risk and Information Security teams to ensure compliance with the Bank’s security and regulatory standards.
• Participate in design authority and peer reviews to maintain architectural integrity and solution quality.
• Manage incidents and escalations, including coordination with RPA vendors for defect resolution and production releases.
• Perform code, version, and release management using GIT, CI/CD pipelines, DevOps practices, and automated testing frameworks.

QUALIFICATIONS

Academic and Professional

• Bachelor’s Degree in Information Technology, Computing, Engineering, or a related field (Required).
• RPA certifications such as UiPath, Power Automate, or Automation Anywhere (Required).
• Knowledge of high-level programming languages including Java, C#, PHP, or JavaScript.
• ITIL certification (Desirable).
• Master’s Degree (MSc or MBA) is an added advantage.

Experience

• Minimum of 4 years’ experience in technology roles.
• At least 3 years’ experience in RPA development or support.
• Experience with agile delivery methodologies.
• Exposure to system integration, process mapping techniques, and emerging technologies such as machine learning or chatbots is desirable.