 Building complex automated CI/CD pipelines using multiple interconnected tools. Participating in the migration of applications from monolithic architecture to microservices architecture. Continuous monitoring of applications using NewRelic, Prometheus, Grafana and EFK/ELK. Installation and configuration of web application servers (Tomcat, Nginx, apache) Ensuring and maintaining bullet-proof security configurations in Linux, Docker, Kubernetes, Jenkins, etc. Using Docker for containerization with Docker Swarm and Kubernetes for container orchestration. Maintaining highly secure and available Kubernetes clusters. Automating infrastructure provisioning and configuration using Terraform and Ansible. Provisioning and configuring infrastructure using Terraform, which is integrated with AWS SDK, AWS CLI/UI, kops, ansible, VPC, Route53, Private and public subnets, route tables, IGW, EC2 instances, IAM, ELB, Autoscaling groups, CloudWatch, EFS, NFS, S3, Databases, Lambda security groups, NACLs, among others. Implementing the use of new technology, attending trainings, job-related seminars, and conferences

Participated in multiple DevOps operations that implemented the use of AWS DevOps offerings like CloudFormation, CodeCommit, CodeBuild, CodePipeline, CloudWatch, API Gateway, etc.Configured, installed, re-sized and deployed elastic computers in AWS cloud using Infrastructure as Code (IaC) -Terraform, AWS CloudFormation.Maintained and improved the company’s cloud infrastructureMonitored, identified, and reported infrastructure and application performance and scaling issues

• Collaborated closely with development and operations teams to define deployment strategies, automate build processes, and ensure smooth software releases.• Designed and implemented CI/CD pipelines for multiple software projects, reducing deployment time.• Configured and maintained CI/CD tools such as Jenkins, Travis CI, or CircleCI, integrating them with version control systems (Git) and artifact repositories (Artifactory, Nexus).• Created and managed infrastructure as code using tools like Docker, Kubernetes, or AWS CloudFormation to enable reproducible and scalable deployment environments.• Implemented automated testing frameworks, including unit tests, integration tests, and end-to-end tests, ensuring code quality and regression prevention.• Troubleshot and resolved issues related to build failures, environment inconsistencies, and deployment problems, ensuring seamless software delivery.• Conducted regular performance analysis and optimization of CI/CD pipelines, identifying bottlenecks and implementing improvements to enhance efficiency.