Roles and Responsibilities: 

• AWS Cloud Management: Design, deploy, and manage AWS cloud infrastructure. Optimize and maintain cloud resources for performance and cost efficiency. Monitor and ensure the security of cloud-based systems. 

• Automated Provisioning: Develop and implement automated provisioning processes for infrastructure deployment. Utilize tools like Terraform and Packer to automate and streamline the provisioning of resources. 

• Infrastructure as Code (IaC): Champion the use of Infrastructure as Code principles. Collaborate with development and operations teams to define and maintain IaC scripts for infrastructure deployment and configuration. 

• Collaboration and Communication: Work closely with cross-functional teams to understand project requirements and provide DevOps expertise. Communicate effectively with team members and stakeholders regarding infrastructure changes, updates, and improvements.

•  Continuous Integration/Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines to automate software delivery processes. Ensure reliable and efficient deployment of applications through the development lifecycle. 

• Performance Monitoring and Optimization: Implement monitoring solutions to track system performance, troubleshoot issues, and optimize resource utilization. Proactively identify opportunities for system and process improvements. 

Mandatory Skills: 

• Proven experience as a DevOps Engineer or similar role, with a focus on AWS. 

• Strong proficiency in automated provisioning and cloud management. 

• Experience with Infrastructure as Code tools, particularly Terraform and Packer. 

• Solid understanding of CI/CD pipelines and version control systems. 

• Strong scripting skills (e.g., Python, Bash) for automation tasks. 

• Excellent problem-solving and troubleshooting skills. 

• Good interpersonal and communication skills for effective collaboration. 

Secondary Skills:

• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). 

• Knowledge of microservices architecture and serverless computing. 

  • Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK stack).