Cloud Engineer Specializing in Analytics, Business Intelligence, and Artificial Intelligence

Description

Job Summary: A professional to coordinate and administer projects and activities on public cloud (AWS/Azure), with a focus on leadership, quality, efficiency, and security, applying agile methodologies and DevSecOps. Key Highlights: 1. Leadership and project management in public cloud (AWS/Azure) 2. Application of agile methodologies (Scrum, Kanban, XP) 3. DevSecOps practices for system integration and security Professional experience in coordination, implementation, and/or administration of projects and activities related to technologies, products, and services on AWS or Azure public cloud, with emphasis on leadership and quality, efficiency, security, effectiveness, and availability of delivered solutions. Technical experience in project and activity management based on agile principles and practices, including the *Agile Manifesto*, *Scrum*, *Extreme Programming* (XP), *Kanban*, and other relevant principles and methodologies in this context. Experience in principles and application of *DevSecOps* practices concerning integration and security in software development, system deployment, and associated computational infrastructure in public cloud and/or *on-premise* environments. Certification: *ITIL Foundation Certified v4* or higher OR *Agile Certified Practitioner* (PMI\-ACP) OR *Agile Scrum Foundation* Professional experience in analysis, coordination, implementation, and/or administration of projects and applied data techniques (*data mining* and *analytics*), together with corporate *business intelligence* applications and use of artificial intelligence and machine learning (*machine learning*) techniques. In addition to professional experience, must hold two (2) or more certifications in technologies, products, or services—preferably on AWS and/or Azure clouds—e.g., *Microsoft Certified: Azure Data Engineer Associate*; *Microsoft Certified: Azure Data Scientist Associate*; *AWS Certified Data Analytics – Specialty*; *AWS Certified Machine Learning – Specialty*. Professional experience in analysis, prospecting, coordination, implementation, and/or administration of projects and activities related to technologies, products, and services on public cloud—preferably AWS or Azure—with emphasis on quality, efficiency, security, and effectiveness. Technical experience in project and activity management based on agile principles and practices, including the Agile Manifesto, Scrum, *Extreme Programming* (XP), *Kanban*, and other relevant principles and methodologies in this context. Experience in principles and application of DevOps/DevSecOps practices concerning integration and security in software development, system deployment, and associated computational infrastructure in public cloud and/or *on-premise* environments. ### **Employment Type:** CLT ### **Benefits:** Meal Voucher, Health Insurance ### **Department:** Government