Cloud Consultant

Program at a Glance

• Week 1 – 5: Cloud Foundations
• Week 6 – 7: Multi-Cloud & DevOps Engineering
• Week 8: Building with AIAI-assisted cloud engineering using GitHub Copilot and Claude
• Week 9: Client Readiness & Career Preparation

Key Responsibilities

• Participate in a 9-week instructor-led Cloud Engineering bootcamp in Atlanta, GA.
• Develop hands-on experience designing and deploying cloud solutions.
• Build and maintain scalable cloud infrastructure and automation workflows.
• Collaborate with cross-functional teams on client-facing consulting engagements.
• Support cloud migration, deployment, monitoring, and optimization initiatives.
• Implement AI-assisted engineering practices in real-world cloud environments.
• Apply DevOps and Infrastructure as Code best practices.
• Communicate technical concepts effectively to technical and non-technical stakeholders.
• Relocate as needed to support client projects across the United States.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Software Engineering, Information Systems, Data Science, or a related technical field.
• Prior company-based IT experience (internship or full-time).
• Basic knowledge of programming or scripting languages such as Python, Java, JavaScript, PowerShell, or Bash.
• Strong interest in Cloud Engineering, DevOps, and AI-assisted development.
• Familiarity with networking, operating systems, or software development concepts.
• Willingness to relocate within the United States for project assignments.
• Strong verbal and written communication skills.
• Ability to thrive in collaborative, client-facing environments.
• Willingness to relocate anywhere in the US on a client project-to-project basis.

Preferred Qualifications

• Exposure to AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Familiarity with Linux administration and networking fundamentals.
• Understanding of containers, Docker, Kubernetes, or CI/CD concepts.
• Experience using Git, Terraform, Ansible, or cloud automation tools.
• Exposure to cloud security, monitoring, or Infrastructure as Code.
• Familiarity with AI tools, machine learning concepts, or automation workflows.
• Personal projects, internships, certifications, or coursework demonstrating technical aptitude.