AI & Automation operations engineer
Auxis
- Barranquilla, Atl谩ntico
- Permanente
- Tiempo completo
- Automation and AI Development: Design, develop, and deploy automation processes and AI-driven solutions to streamline business operations and enhance efficiency.
- Infrastructure Management: Design, implement, and maintain the UiPath infrastructure, including servers, databases, and storage, ensuring high availability and performance of the platform in both cloud and on-premises environments.
- Technical Troubleshooting: Serve as an escalation point for complex technical issues, providing L2 support and troubleshooting infrastructure-related problems.
- System Monitoring and Optimization: Monitor system performance, identify potential issues or bottlenecks, and collaborate with development teams to optimize the UiPath platform for scalability and performance.
- Documentation: Develop and maintain technical documentation, including Process Definition Documents (PDDs) and Solution Design Documents (SDDs), ensuring adherence to coding standards and best practices.
- Collaboration: Work closely with cross-functional teams, including development, operations, and infrastructure, to stabilize, enhance, or fix automation solutions.
- Mentorship: Provide guidance and support to junior engineers, fostering a collaborative and growth-oriented team environment.
- Innovation and Best Practices: Stay current with the latest AI and automation technologies, infrastructure management tools, and industry best practices, recommending their adoption where applicable.
- On-Call Support: Participate in on-call rotations to provide infrastructure support as needed, ensuring continuous service delivery.
- Education: A Bachelor's degree in computer science, Engineering, or a related field, is desirable.
- Experience: Minimum of 5 years of experience in AI, automation, or a related field.
- Automation Tools: Proficiency in UiPath and MS Power Automate, or similar automation platforms.
- Infrastructure Knowledge: Strong understanding of UiPath architecture and its components, with experience in server administration (Windows and Linux) and cloud environments (Azure, AWS).
- Cloud Platforms: Proficiency with cloud platforms such as AWS, Azure, or GCP, particularly for deploying and managing UiPath Orchestrators.
- Data Analysis: Experience with data analysis and reporting tools like MS Power BI.
- Database Administration: Experience with database management (SQL Server, Oracle).
- Certification: UiPath Certified Professional Advanced RPA Developer (UiARD) Certification is required. Additional certifications in cloud platforms (AWS, Azure) are highly desirable.