Jatin Singh

Administer CloudBees Jenkins at scale, managing the CloudBees Jenkins Operations Center (CJOC) and multiple client controllers. Monitored job queues, tuned JVM heap memory, and optimized resource allocation to support seamless builds for 50+ cross-functional teams. Designed and implemented comprehensive monitoring dashboards in Grafana and SumoLogic, aggregating logs and metrics from Prometheus and AWS CloudWatch to reduce Mean Time to Detection (MTTD) by 35%. Artifact Strategy: Managed global artifact distribution using JFrog Artifactory and JFrog Edge nodes, ensuring high availability and low-latency access to container images and binaries across different environments. Managed EKS clusters with 200+ nodes, automating scaling and troubleshooting to maintain 99.9% uptime for business-critical microservices. Leveraged monitoring tools such as Prometheus, Grafana, Elasticsearch, and Kibana to monitor over 50+ services, enabling proactive issue resolution and reducing mean time to detection (MTTD) by 35%. Designed and deployed a custom CVE-Tracker and Autopatcher service. The service scans running instance workloads for vulnerabilities and leverages AWS Bedrock (Claude 3.5 Sonnet) to analyze CVE reports, generate safe patch scripts, and automatically execute remediation. Integrated the Autopatcher with Jira Service Management via API to automatically create, update, and close tickets for every detected and patched vulnerability, ensuring 100% audit compliance. Provided 24/7 on-call support for critical systems, ensuring 99.9% system uptime and reducing incident response time by 50% for critical issues.

Successfully migrated a monolithic application to a microservices architecture on AWS, leveraging Kubernetes (EKS), which improved scalability by 50%, reduced deployment time by 40%, and enabled cloud-native deployment. Transitioned infrastructure to Graviton architecture, increasing application performance by 30% and achieving a 40% reduction in AWS costs. Optimized AWS expenditure by conducting comprehensive cost-saving activities, reducing monthly cloud costs by 25% through resource right-sizing, auto-scaling, and instance scheduling. Administered Kubernetes clusters with over 200 nodes, managing deployment, scaling, and troubleshooting to ensure 99.9% uptime and high system reliability. Leveraged monitoring tools such as Prometheus, Grafana, Elasticsearch, and Kibana to monitor over 50+ services, enabling proactive issue resolution and reducing mean time to detection (MTTD) by 35%. Improved code deployment efficiency by automating CI/CD pipelines, reducing deployment lead time by 50% and eliminating 90% of manual intervention in the deployment process. Automated manual tasks using Python and Shell scripts, improving team productivity by 30% and reducing manual task execution time by 40%. Contributed to the creation of a DevOps culture within the organization, leading to a 20% increase in cross-functional collaboration and reducing time to market for new features by 30%. Reduced system downtime by 40% through effective incident management, implementing rapid response strategies that improved issue resolution time by 50%. Architected and implemented CI/CD pipelines for EKS deployments, reducing deployment times by 35% and increasing release frequency by 25%, while ensuring consistent build and release quality.

Revamped and modernized infrastructure for the Orderhive application by integrating a Java backend with a React frontend, improving performance by 30% and scalability by 40%, while reducing page load times by 25%. Automated manual tasks using Python and Shell scripting, increasing team productivity by 35% and reducing repetitive task execution time by 50%. Migrated legacy codebase to a modernized architecture, improving system stability and reducing technical debt, resulting in a 20% increase in application responsiveness and a 15% improvement in user satisfaction. Containerized services using Docker Compose, enabling seamless deployment and management of the application stack, reducing setup time by 40% and minimizing environment inconsistencies. Streamlined the build and deployment processes by configuring Jenkins pipelines, reducing manual intervention by 90% and cutting deployment cycle time by 50%. Provisioned and managed infrastructure as code with Terraform, ensuring consistency and reproducibility in deployments, reducing infrastructure provisioning time by 60%, and improving overall system reliability.

Engineered the setup and deployment of the Pabsa Java application on Amazon EC2 instances, optimizing resource allocation to improve application performance by 25% and reducing operational costs by 15%. Automated the deployment process across multiple environments using Jenkins pipelines, increasing deployment consistency by 90% and reducing deployment errors by 50%. Configured Virtual Private Cloud (VPC) environments and Security Groups on AWS, enhancing security by implementing network segmentation and granular access controls, reducing security vulnerabilities by 40%. Documented deployment procedures, infrastructure configurations, and security policies, improving team efficiency by 30% and reducing onboarding time for new team members by 20%. Rapidly learned new materials, processes, and programs, reducing onboarding time by 30% and enabling quick contribution to project success. Actively participated in on-the-job training, collaborating closely with supervisors and peers, contributing to a 25% improvement in team knowledge sharing and overall project delivery speed.