Key Responsibilities

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)

mplement 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,docker,kubernetes,terraform,jenkins,control tower,github actions,ci/cd,aws,rds,ec2,networking,confluence,bitbucket pipeline,eks,dynamodb,config,code,security architectures,cd,security,s3,infrastructure as code (iac),datadog,ci,github,ansible,devops,shell scripting,jira,lambda,cloudwatch

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AWS DevOps Engineer