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Robotic Process Automation (RPA) Specialist at Stratostaff

Stratostaff
Full-time
On-site
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.