AWS Google Cloud Platform Engineer (5-10 yrs)

AWS GCP Cloud Engineer

Experience : 5+ years

Key Responsibilities :

- Design and architect cloud infrastructure solutions, including virtual networks, compute instances, storage solutions, and security groups.

- Implement and configure cloud services such as EC2, S3, RDS, VPC, IAM, and CloudFront on AWS and GCP.

- Optimize cloud infrastructure for performance, scalability, and cost-efficiency.

- Migrate existing applications and workloads to the cloud, leveraging cloud-native technologies and best practices.

- Assess and optimize existing infrastructure to reduce costs and improve performance.

- Implement robust security measures, including access controls, encryption, and vulnerability scanning.

- Ensure compliance with industry standards and regulations, such as HIPAA, PCI DSS, and GDPR.

- Monitor and respond to security threats and vulnerabilities.

- Automate infrastructure provisioning and configuration using tools like Terraform, CloudFormation, and Ansible.

- Implement CI/CD pipelines to automate deployment and testing processes.

- Monitor and optimize cloud infrastructure performance and availability.

- Diagnose and resolve complex technical issues related to cloud infrastructure.

- Provide technical support to development and operations teams.

Required Skills and Experience :

- 5+ years of experience in cloud computing, with a strong focus on AWS and GCP.

- Deep understanding of cloud computing concepts, including IaaS, PaaS, and SaaS.

- Proficiency in scripting languages like Python, Bash, or PowerShell.

- Experience with configuration management tools like Terraform, Ansible, or CloudFormation.

- Strong knowledge of networking, security, and storage concepts.

- Experience with containerization technologies like Docker and Kubernetes.

- Understanding of CI/CD pipelines and DevOps practices.

- Strong problem-solving and troubleshooting skills.

- Excellent communication and collaboration skills.

Preferred Skills :

- Certifications in AWS or GCP.

- Experience with serverless computing (Lambda, Cloud Functions).

- Knowledge of data engineering and data warehousing on the cloud.

- Experience with cloud cost optimization strategies