 Design, deploy, and manage AWS infrastructure using Terraform and Docker.

 Manage and optimize Kubernetes clusters in EKS to ensure smooth and efficient operations.

 Proficiency in CI/CD tools such as Jenkins, GitHub Actions or Bitbucket Pipeline.

 Collaborate with cross-functional teams using GitHub, Jira, and Confluence to streamline

workflows and achieve project goals.

 Ensure robust security practices across all infrastructure, applications, and CI/CD pipelines.

 Leverage expertise in DataDog monitoring to track and improve system performance.

 Write and maintain strong shell scripts and Python scripts for automation and operational

efficiency.

 Utilize Infrastructure as Code (IaC) using Terraform and configuration management using

Ansible.

 Strong expertise in AWS core services (EC2, S3, RDS, Lambda, CloudWatch, Config, Control

Tower, DynamoDB, EKS).

 Knowledge of networking and security architectures (VNets, Firewalls, NATs, ACLs, Security

Groups, Routing)

 Implement best practices for infrastructure and application monitoring, scaling, and disaster

recovery.

Required Qualifications

 Bachelor’s degree in computer science, Information Technology, or a related field.

Proven experience as a DevOps Engineer or similar role in the IT industry.

 5+ years of experience in cloud infrastructure engineering, with a strong focus on automation.

 5+ years of experience in Implementation, configuration and maintenance of DevOps and AWS

 Strong proficiency in Linux and shell scripting.

 Extensive experience with AWS, including the use of Terraform for infrastructure provisioning.

 Proficiency in managing Kubernetes clusters, particularly in EKS.

 In-depth knowledge of CI/CD pipelines.

 Familiarity with Python code linting tools and best practices for clean, efficient code.

 Strong working knowledge of GitHub, Jira, and Confluence for collaboration and project

management.

 Expertise in Docker for containerization and orchestration.

 Strong focus on security best practices in infrastructure and application development.

 Solid experience with DataDog for monitoring and logging.

 Excellent problem-solving, communication, and teamwork skills.

Skills: python,datadog,linux,shell scripting,ci/cd,eks,ci,aws,aks,bitbucket pipeline,aws devops,kubernetes,github actions,docker,terraform,networking and security architectures,ansible,cd,jenkins