Rajesh Ramesh
Development
Texas, United States
Skills
DevOps
About
RAJESH RAMESH's skills align with Consultants and Specialists (Information and Communication Technology). RAJESH also has skills associated with Programmers (Information and Communication Technology). RAJESH RAMESH has 7 years of work experience.
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Work Experience
DevOps Engineer
Technology Revolutions Inc
November 2022 - March 2024
- - Established and automated Jenkins based CI/CD pipelines and Terraform deployments to reduce infrastructure costs by 30% while achieving 28% faster deployments with minimized errors. Optimized security incident response by 20% through improved monitoring with Prometheus. - Led the implementation of Kubernetes autoscaling and namespace-based security policies for Northern Trust Corporation's EKS clusters, resulting in a 25% reduction in infrastructure costs, 15% increase in application performance & significant increase in security compliance. - Led the orchestration of a robust data pipeline using Filebeat and Kafka, achieving a 50% reduction in log processing time for Kubernetes pods (EKS) and seamless delivery to AWS Security Hub, thereby streamlining security posture management. - Designed and harnessed a highly available (HA) architecture for mission-critical applications in the financial services industry with statefulsets, deployments, and services for pod management and load balancing with automated failover mechanisms, ensuring near 99.99% system uptime. - Secured Terraform state using S3 and DynamoDB for fine-grained access control.
Technical Programs Manager (SW & Cloud Infra)
GenXComm Inc
August 2021 - September 2022
- Promoted and drove a DevOps culture, reducing deployment times from monthly to weekly (30% increase in frequency) & streamlining CI/CD pipelines. Partnered with Product to prioritize resilience, achieving a 15% reduction in post-release incidents. - Streamlined EKS deployment processes by implementing GitOps workflows with ArgoCD, enabling faster, more reliable deployments and simplified rollbacks. Spearheaded incident response process improvement, leading to a 20% reduction in resolution time and minimized downtime through proactive log analysis and troubleshooting with Prometheus & Grafana dashboards. - Built data pipelines for IoT based applications to ensure batch processing of sensor data using S3, EMR and DynamoDB. Upgraded the functioning of the data pipeline by triggering it using EventBridge and Lambda. - Built a scalable 5G Network Management System entirely on AWS, using CodePipeline, VPC, S3, CloudFront, ECR, EKS, Kafka, and MQTT. - Developed reusable Terraform modules for consistent infrastructure components, promoting maintainability and scalability.
Software Engineer (DevOps & SRE)
Trilogy Networks, Inc
December 2019 - July 2021
- Led cross-organizational cloud initiatives, deploying and maintaining resilient IoT/Edge applications on Kubernetes (micro K8s) in bare metal based environments for 99.99% uptime. Standardized configurations with Ansible playbooks leading to 35% reduction in configuration time. - Integrated OWASP dependency check and SonarQube for code vulnerability analysis into the CI/CD pipeline, reducing potential security risks by 20% and improving code quality by 35%. - Designed & administered overall Edge Computing infrastructure built on AWS - IAM, VPC, EC2, S3, CodeBuild, CodeDeploy, CloudWatch, EKS, RDS, Lambda, KMS, SQS and Direct Connect
DevOps Engineer
Cosmos Digital Technologies LLC
April 2019 - November 2019
- - Led the automation of AWS complete application lifecycle management with 33% faster MTTR through CI/CD pipelines in Jenkins. - Enhanced infrastructure visibility & stability by 20% with custom Splunk dashboards, leading to a combined 65% uptime improvement through secure and efficient Kubernetes deployments. - Optimized log analysis & report generation with Python scripts, reducing manual effort by 50% and freeing up time for proactive SRE tasks, contributing to a 18% improvement in system uptime. - Led the migration of on-premise infrastructure to AWS by leveraging Terraform for infrastructure provisioning, resulting in a 40% reduction in deployment time. - Spearheaded HA for critical apps with effective monitoring, automated response, & root cause analysis, achieving a 99.99% uptime SLA.
DevOps Engineer
University of San Francisco
July 2018 - April 2019
- - Led cloud adoption with AWS (EC2, S3, VPC, RDS, Lambda), achieving a 40% cost reduction. Automated infrastructure provisioning with Terraform and secured deployments using EKS clusters. Enhanced security posture by implementing Splunk (30% improved threat detection) for real-time analysis of 100,000+ daily events. Orchestrated highly available EKS clusters. - Developed & maintained RESTful APIs (Flask, Django) for efficient data exposure to services and users, increasing API usage by 28%. - Utilized Terraform state locking mechanisms to prevent race conditions and ensure consistent infrastructure provisioning across deployments.
DevOps Engineer
COMMIT
June 2015 - August 2016
- Contributed to the development of CI/CD pipelines for various AWS and Azure environments by incorporating Jenkins, Git, Docker, and NPM for Node.js applications, focusing on automating testing & builds for efficient deployments. Enhanced deployment reliability by 50% through automated testing & integration processes. - Leveraged Terraform for automated infrastructure provisioning and configuration management, ensuring consistent and repeatable deployments across multiple environments (dev, staging, prod), leading to reduction of deployment times by 20% and minimizing the risk of configuration drift.