G Kesava

AWS for enhanced Orchestrated the deployment of EKS Fargate Clusters, optimizing resource allocation and scalability within AWS infrastructure. Established secure private registries within Elastic Container Registry (ECR), ensuring the safe storage and retrieval of Docker Images. Streamlined codebuilds and deployment workflows by leveraging GitHub Workflow files, specifically targeting EKS Fargate pods for efficient deployment. Designed and implemented Ingress files to facilitate the deployment of load balancers, alongside Service YAMLs for the smooth deployment of pods. Enhanced system security by deploying and configuring WAF rules, effectively filtering and managing inbound traffic. Spearheaded the automation of environment replication processes utilizing CloudFormation templates and custom GitHub actions scripts, ensuring consistency and reliability across deployments. Successfully implemented horizontal autoscaling mechanisms for EKS Fargate pods, enhancing system resilience and resource utilization in response to fluctuating workload demands. Strategically devised and implemented weekend shutdown protocols for EKS Fargate pods, optimizing resource allocation and cost efficiency during periods of reduced activity. Implemented infrastructure as code (IaC) using Terraform to automate the provisioning of AWS resources, resulting in a reduction in deployment time. Leveraged AWS Batch to efficiently manage and execute long-running ETL (Extract, Transform, Load) jobs, ensuring seamless data processing and workflow automation. Played a key role in configuring and optimizing AWS Database Migration Service (DMS) setups, facilitating smooth and efficient data migration processes across diverse environments. Contributed to the setup and optimization of CloudFront distributions, enhancing content delivery performance and reliability for web applications and services. Experience with writing GitHub Workflows, Kubernetes manifest files, and docker files. Fair knowledge on observability, alerting, and tracing of distributed systems using tools like Prometheus, Grafana.

Collaborated closely with development teams as a Cloud Consultant to architect and implement DevOps Continuous Integration/Continuous Deployment (CI/CD) pipelines using Jenkins, facilitating seamless code deployment across multiple environments. Played a key role in deploying, automating, maintaining, and managing AWS-based DTAP (Development, Testing, Acceptance, Production) systems, ensuring optimal availability and performance. Implemented robust server monitoring solutions utilizing both internal application dashboards and third-party tools such as Dynatrace, ensuring proactive identification and resolution of potential issues. Integrate Application code/image scanning tools such as SonarQube through the Jenkins CI/CD pipeline to automatically flag security vulnerabilities or policy violations to developers in their code before its deployed. Executed deployment strategies for internal applications using OpenShift platform on Cloud1 and Kubernetes platform through the implementation of Terraform code within Jenkins on Cloud2, ensuring consistent and reliable deployment processes. Collaborated closely with development teams to facilitate code changes and commits in Bitbucket, seamlessly integrating them with respective Jira tickets to maintain clear traceability and accountability throughout the development lifecycle. Undertook various CloudOps tasks including customer environment upgrades, troubleshooting of backup processes, and resolution of disk space issues, ensuring uninterrupted operation of cloud-based systems. Managed the release process by updating new software releases in S3 buckets and orchestrating their deployment, ensuring smooth transitions and minimal downtime. Exposure to Agile methodology and experience with full SDLC including design, testing and deployment.

Proficient in utilizing a wide array of AWS services including IAM, VPC, EC2, S3, RDS, ALB, WAF, and CloudWatch to architect and manage cloud infrastructure. Demonstrated ability to manage and optimize scalable distributed systems in cloud environments, ensuring high performance and reliability. Skilled in crafting IAM policies, roles, and user management strategies to facilitate delegated access control within AWS environments. Proficient in L1 production support, utilizing Jira ticketing tool to effectively address and resolve system issues with promptness and accuracy. Well-versed in various Atlassian tools including Jira, Confluence, and Bitbucket, leveraging their functionalities to streamline collaboration and project management processes. Actively engaged in imparting training and Knowledge Transfer (KT) sessions to newly onboarded employees, ensuring smooth integration into the team and promoting proficiency in relevant technologies and processes. Create and manage Elastic Block Storage (EBS), S3 buckets, and Enable versioning & Life cycle management.