Devops Engineer

Introduction:

With over 9 years of hands-on experience as a DevOps Engineer, the candidate has expertise in automation, cloud infrastructure, and CI/CD pipeline implementation. They have worked extensively with Kubernetes, Ansible, Terraform, and cloud platforms such as AWS, Azure, and GCP. Their experience includes automating infrastructure tasks, optimizing workflows, and ensuring seamless software delivery. They have successfully migrated CI/CD pipelines, managed cloud-native deployments, and improved security and scalability. Their proficiency in scripting with Python and Shell has contributed to infrastructure automation and efficiency. They have transitioned legacy tools to modern platforms, enhancing operational stability. Their work has involved optimizing containerized environments and implementing robust monitoring and alerting systems. They have played a key role in cloud migration strategies, ensuring cost-effective and scalable solutions. Their technical expertise and problem-solving skills drive innovation and efficiency in development teams.

Responsibilities:

• Designed, implemented, and managed CI/CD pipelines using GitLab CI/CD, Jenkins, and Azure DevOps
• Automated infrastructure provisioning and configuration using Ansible, Terraform, and Python scripts
• Managed Kubernetes clusters, optimizing scaling, networking, and security policies
• Migrated on-premises infrastructure and CI/CD workflows to cloud environments such as AWS, Azure, and GCP
• Developed and deployed containerized applications using Docker and Kubernetes
• Implemented Infrastructure as Code (IaC) using Terraform and Ansible to ensure consistency and scalability
• Created custom automation scripts for cloud resource management, reducing manual intervention
• Integrated monitoring and logging solutions using tools like CloudWatch, Prometheus, and ELK Stack
• Improved security compliance by implementing best practices in cloud and container security
• Led the migration of legacy automation tools like Puppet to modern alternatives like Ansible AWX
• Designed and optimized multi-stage Dockerfiles to enhance container efficiency and security
• Enhanced system reliability and performance through automated testing and deployment strategies