Jeevan Reddy
Devsecops Devops Engineer (Ai Ml) @Cognizant
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WORK HISTORY
Devsecops Devops Engineer (Ai Ml) @Cognizant
Toronto, ON, CA
Architected and operated multi-region AWS platforms using EKS, EC2 Auto Scaling, ALB/NLB, VPC, IAM, Route 53, and RDS/DynamoDB for highly available production workloads.Designed Kubernetes platforms across AWS, Azure, and GCP (EKS/AKS/GKE) with Helm, Ingress controllers, HPA, network policies, and Pod Security Standards.Built end-to-end Infrastructure-as-Code pipelines using Terraform modules, CloudFormation, ARM templates, and Azure PowerShell with Git-based workflows.Embedded DevSecOps controls into CI/CD pipelines using Security Hub, GuardDuty, Inspector, IAM Access Analyzer, image scanning, SAST/DAST, and secrets management.Led large-scale on-prem → AWS and cross-cloud migrations using EC2, EFS, S3, DMS, RDS, VPN, and Direct Connect.Implemented enterprise observability using CloudWatch, Azure Monitor, Datadog, and New Relic (NRQL dashboards & alerting), reducing MTTR and improving SLOs.Designed MLOps pipelines on AWS using SageMaker, CodePipeline, and CodeBuild.Applied SRE practices including error budgets, SLIs/SLOs, runbooks, incident response, and post-mortem processes.Optimized AWS costs through Savings Plans, Spot Fleets, autoscaling, storage tiering, and rightsizing.
EDUCATION
Jawaharlal Nehru Technological University
Bachelor of Technology - BTech
ABOUT JEEVAN REDDY
5+ years of experience supporting large-scale environments across Azure, AWS, and GCP, specializing in Kubernetes-based platforms, infrastructure automation, security integration, observability, migrations, and incident management. Highly proficient in Infrastructure-as-Code using Terraform, ARM templates, CloudFormation, and Azure PowerShell, along with configuration management via Ansible, and deep hands-on expertise across Azure services (VMs, Storage, Azure AD, Functions, Service Bus, SQL, Monitor, IIS) and AWS platforms (EC2, S3, VPC, IAM, RDS, DynamoDB, Lambda, EKS, Route 53, Auto Scaling). Led complex on-prem and cross-cloud migrations, implemented enterprise-grade monitoring using Azure Monitor, Application Insights, Datadog, and New Relic (including NRQL dashboards), administered JFrog Artifactory clusters, and embedded security controls into CI/CD pipelines through DevSecOps practices. Strong at SRE methodologies, release governance, root-cause analysis, and automation using Python, PowerShell, Bash. Expertise in collaborating with cross-functional teams to deliver reliable, cost-effective, and production-ready AI/ML solutions.
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