Job Description:

• Planning, designing and developing cloud-based applications.
• Managing cloud environments in accordance with organization security guidelines.
• Educating involved teams on the implementation of new cloud-based initiatives, providing associated training as required to further the organization’s success.
• Employing exceptional problem-solving skills, with the ability to see and solve issues.
• Lead and develop best practices for larger Cloud Engineer team.
• Building and designing web services in the cloud, along with implementing the set-up of geographically redundant services.
• Orchestrating and automating cloud-based platforms throughout the company.
• Stay current with industry trends, making recommendations as needed to help the company excel.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Troubleshoot incidents, identify root cause, fix and document problems, and implement preventive measures

• Teach students about the different aspects of cloud computing starting from basics.
• Facilitate a dynamic and collaborative classroom community.
• Inspire students to persevere through the challenges of learning a new suite of skills through a term project.
• Follow the guideline and schedule of the course given by the management team and also contributes in changings of guideline with personal experience.
• Assign tasks to students, on daily basis which should enhance their communication Skills and convincing power.
• Should be punctual on the time slots assigned by management after proper coordination regarding availability.
• Prepare reports of student’s performance on the results of the tasks and handover it to management.

Qualification and research:

• At least 3 years of work experience as a data scientist.

• Bachelor’s degree in computer science or information technology.
• 3+ years of experience architecting, designing, developing, and implementing cloud solutions on AWS platforms.
• Understanding of and experience with pillars of a well-architected frameworks.
• Moderate to expert experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics
• Proven ability to be collaborative with multi-disciplinary teams of business analysts, developers, data scientists, and subject matter experts.
• Problem-solving aptitude
• Excellent communication and presentation skills

• A drive to learn and master new technologies and techniques.