Vanishree Vr

Background

About Vanishree Vr

Highly skilled DevOps Engineer with over 5 years of experience in driving DevOps transformations, CI/CD pipeline implementations, and cloud-based solutions. Proven expertise in AWS and Azure, with extensive hands-on experience in building and deploying scalable applications. Key competencies include: Version Control Systems: Proficient in administering and supporting version control systems such as Git, GitHub, and Bitbucket. Cloud Services: Extensive experience with AWS and Azure services for DevOps, including Terraform, CloudFormation, Azure Resource Manager (ARM) templates, and various CI/CD tools. CI/CD Pipelines: Expertise in designing and implementing CI/CD pipelines using Jenkins, AWS CodeBuild, CodePipeline, and Azure DevOps, with a focus on automation and efficiency. Security Integration: Implemented security practices in CI/CD setups, including the use of SAST, DAST, and container security tools to safeguard applications. Microservices & Cloud Applications: Adept at deploying highly scalable microservices and large-scale applications into the cloud (AWS and Azure), ensuring high availability and reliability. Infrastructure Automation: Skilled in developing and managing Ansible playbooks for automating deployment processes and infrastructure provisioning. Cloud Monitoring: Experienced in utilizing cloud monitoring tools such as ELK Stack, CloudWatch, Azure Monitor, and other relevant platforms to ensure system health and performance. Serverless Architectures: Developed serverless applications using AWS Lambda and Azure Functions to optimize maintenance costs and enhance scalability. Kubernetes Management: Managed and maintained Kubernetes clusters for container orchestration, including setup, scaling, and troubleshooting of clusters in both AWS and Azure environments. Containerization: Experienced with Docker for containerization, improving development and deployment workflows through efficient and scalable container management. Automation Scripting: Proficient in Python and Shell scripting for automating various tasks, including deployment, configuration management, and operational efficiency.