Job Description

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) • Implement best practices for infrastructure and application monitoring, scaling, and disaster recovery. Required Qualifications: • Bachelors 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.