AWS Cloud Engineer with Terraform
Job Description
We are seeking a highly experienced AWS Cloud Engineer with 10+ years of IT experience and deep expertise in Amazon Web Services (AWS) infrastructure design, implementation, and management. The role requires strong hands-on experience with Terraform for Infrastructure as Code (IaC) and extensive knowledge of core AWS services, cloud architecture, security, and scalability best practices.
Key Responsibilities
- Architect, design, and implement scalable, secure, and highly available solutions on AWS.
- Provision and manage AWS infrastructure using Terraform (Infrastructure as Code).
- Design and manage AWS networking components including VPCs, subnets, route tables, security groups, and load balancers.
- Implement IAM roles, policies, and security best practices across AWS environments.
- Deploy and manage compute services such as EC2, Lambda, and container services (EKS/ECS).
- Manage AWS storage solutions including S3, EBS, and backup strategies.
- Configure and manage RDS, DynamoDB, and other AWS database services.
- Implement monitoring and logging using CloudWatch and related AWS-native tools.
- Optimize AWS environments for cost efficiency, performance, and scalability.
- Ensure high availability and disaster recovery architecture.
- Support CI/CD pipeline integrations for cloud deployments where required.
- Troubleshoot and resolve AWS infrastructure and performance issues.
- Maintain detailed documentation of AWS architecture and configurations.
Required Skills & Qualifications:
- 10+ years of overall IT experience.
- 5+ years of strong hands-on experience in AWS cloud engineering.
- Deep expertise in AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, EKS/ECS, CloudWatch, Auto Scaling, and Load Balancers.
- Strong experience with Terraform (modules, state management, remote backends).
- Experience designing secure, scalable, and highly available AWS architectures.
- Strong understanding of AWS networking, security, and governance.
- Experience with containerization technologies (Docker, Kubernetes preferred).
- Proficiency in scripting (Bash, Python, or similar).
- Experience with Git-based version control systems.
- Knowledge of cloud cost optimization strategies.
- Familiarity with CI/CD integration for AWS deployments.