Devops Engineer
CurrentImplemented AWS services including AWS Identity and Access Management (IAM), Amazon S3 storage, EC2 instances, RDS, AWS Lambda, SQS,, SNS, Cloud trail, Fargate, VPC, Athena, EventBridge, CloudWatch, and DynamoDB.Developed bespoke Jenkins CI/CD pipelines tailored to the company’s unique technology stack (deployed Java, Scala, Python applications) , leading to a 60% reduction in deployment times and a 40% increase in deployment frequency. Also Wrote build files and created jobs in Jenkins.Expertise in building applications through Docker, writing Dockerfiles from scratch to create Docker images containing application code, dependencies, and configurations, facilitating streamlined development and deployment workflows.Developed and deployed an integrated ELK stack with OpenSearch to analyze logs stored in Amazon S3, while implementing a machine learning-powered chat assistant for user-friendly querying, significantly enhancing data accessibility and operational insights.Configured Logstash with custom pipelines and rules to continuously process logs, implementing index management based and creating Index State Management (ISM) policies to efficiently delete older logs, optimizing storage.Configured Prometheus and Grafana for cluster logging, enabling effective monitoring and visualization of Kubernetes cluster metrics and logs.Designed and implemented AWS solutions with a focus on serverless technology, delivering code in Terraform and CDK. Provided on-call support ensuring service availability and incident response when needed.Deployed managed Kubernetes clusters in AWS across using Terraform and implementing Cluster Autoscaler to achieve a 20% reduction in Amazon EKS pod failures.Led a project to centralize Helm charts for all applications by establishing and maintaining a centralized Helm repository, improving deployment consistency and reducing time spent on managing application configurations.