Divya J.

About Divya J.

Results-driven Cloud DevOps Engineer with over 8 years of experience in designing…

Experience

1. Cloud Devops Engineer

   Retail Business Services Limited

   Jan 2023 — Present · US

   Managed and optimized cloud infrastructure on AWS (EC2, S3, RDS) and Azure, reducing cloud spend by 15% annually through resource optimization and automation, maintaining 99.95% uptime.e and response-time requirements.• Engineered and maintained Kubernetes clusters for scalable deployments, leveraging Docker, Helm, and Istio for service-to-service communication and container orchestration.• Migrated deployment pipelines from Spinnaker to ArgoCD using Argo Workflows, automating logging service deployments, validation, alert creation, and dashboard integration.• Designed and implemented robust CI/CD pipelines with Jenkins, Terraform (HCL), and Argo Workflows, accelerating deployments by 40% and reducing manual errors by 25%. • Automated system configurations and deployments across Linux environments using Ansible, enhancing consistency and reducing manual effort.• Implemented monitoring and observability with Prometheus, Grafana, CloudWatch, reducing Mean Time To Detection (MTTD) for critical incidents by 30%. • Developed Python and Bash scripts to automate operational tasks, streamlining routine workflows and reducing manual intervention.• Supported and maintained relational and NoSQL databases (AWS RDS, DynamoDB), ensuring data integrity and performance for cloud-native applications.• Applied SRE principles, including incident response, root cause analysis, and conducting bi-weekly GameDays and Reliability Hours to improve system reliability and reduce recurrence of critical incidents by 20%.• Enhanced logging services by upgrading Kafka client jars, implementing encryption at rest and in transit for FedRamp and HIPAA compliance, and improving startup times using a RAM disk for Kafka services.• Created Layer 4 K8s service deployment Helm charts, automated pipelines via Argo Workflows, and managed AWS resources in Cell accounts using Terraform.• Improved cloud costs and reliability by implementing auto-scaling for Kafka consumer services and

Education

• University of Central Missouri

  Master of Science - MS

  2022 — 2023

• G. Narayanamma Institute Of Technology And Science

  Bachelor of Technology - BTech

  2012 — 2016

• Sri Chaitanya College of Education

  Intermediate

  2010 — 2012