I am a seasoned DevOps Engineer with over 4.8+ years of experience in architecting and executing CI/CD pipelines, automating infrastructure, and managing cloud deployments. My expertise lies in seamlessly integrating technical skills with strategic collaboration to advance DevSecOps practices, streamline workflow efficiency, and spearhead innovation.
• Designed, deployed, and maintained Kubernetes clusters on Amazon EKS, supporting high-transaction-rate applications.
• Architected, designed, implemented, and managed secure, scalable, and highly available AWS cloud infrastructure.
• Implemented and managed large deployments of NoSQL databases such as Elasticsearch and MongoDB in Kubernetes environments.
• Established and enforced security best practices for Kubernetes clusters, ensuring compliance with industry standards and regulatory requirements.
• Set up centralized logging and monitoring solutions using Grafana, Prometheus, ELK stack (Elasticsearch, Logstash, and Kibana), and AWS Cloud Watch.
• Conducted capacity planning and optimization to maximize performance and cost efficiency of infrastructure resources.
• Developed and enhanced Terraform scripts for provisioning and managing AWS infrastructure components.
• Developed and maintained real-time data streaming solutions using Apache Kafka.
• Collaborated with development teams to optimize application performance, reliability, and scalability through infrastructure optimizations.
• Implemented security scanning tools like Trivy and Snyk, and performed vulnerability assessments using OWASP ZAP.
• Developed and maintained real-time data streaming solutions using Apache Kafka, managing topics, partitions, and replication.
• Hands-on experience with scripting languages like bash for automation and deployment tasks.
• Managed databases, including PostgreSQL and MongoDB, ensuring data integrity, availability, and performance.
• Troubleshot problems across a wide array of services and functional areas, ensuring minimal downtime.
• Designed and managed robust CI/CD pipelines to streamline the development and deployment process, significantly reducing release times and improving software quality.
• Administered and optimized development and production servers on AWS, utilizing a wide range of services including S3, EC2, Route 53, CloudFront, ECR, Elastic Beanstalk, ACM, CodePipeline, Lambda, RDS, IAM, SNS, SQS, ECS and EKS.
• Utilized monitoring tools like CloudWatch and Datadog to ensure system reliability and quickly resolve real-time issues, enhancing overall system performance.
• Automated various aspects of the DevOps lifecycle, employing tools and frameworks like Jenkins, Docker, and Terraform to increase efficiency and reduce manual workload.
• Created and managed Docker images and containers, wrote Dockerfiles, and handled image tagging and publishing to Docker Hub, facilitating consistent and reproducible environments.
• Managed RDS instances for reliable and scalable database solutions, ensuring data integrity and availability.
• Implemented security best practices and compliance measures using AWS IAM, Security Groups, and VPC configurations.
• Deployed and managed microservices-based applications using containerization and orchestration tools like Docker and Kubernetes (EKS), ensuring scalability and resilience.
• Utilized GIT for efficient source code version control, ensuring seamless collaboration and code integrity.
• Integrated GIT with Jenkins to establish a robust CI/CD pipeline, incorporating code quality tracking and user management.
• Leveraged Maven as a build tool to automate the creation of deployable artifacts (JAR, WAR) from source code, ensuring consistency and efficiency in builds.
• Successfully deployed and managed LAMP stack environments, providing a stable platform for web applications.
• Created and managed Docker images, ensuring consistent and isolated environments for application deployment.
• Set up, deployed, and managed application stacks on AWS, ensuring high availability and reliability.
• Automated continuous integration and deployment processes using Jenkins and Docker, enhancing workflow efficiency and reducing manual intervention.
Rajasthan Technical University, Kota(Raj.)
Shri Gandhi Bal Niketan, Ratangarh(Raj.)