Dheeraj Reddy Narem

.Experienced Cloud & DevOps Engineer specializing in Kubernetes (GKE, AKS), AI/ML workloads, and cloud cost optimization (50% reduction). Expertise in scalable infrastructure, automation, and observability to ensure high availability and performance. Proficient in Google Vertex AI and Microsoft OpenAI, leveraging AI for scalable cloud solutions and security compliance, including SOC 2 and ISO audits for certification.

• Designed and deployed GKE clusters and production environments across GCP, AWS, and Azure.
• Deployed AI/ML models on Kubernetes, improving cost-efficiency and GPU utilization.
• Achieved 50% cloud cost savings by optimizing and migrating production workloads.
• Implemented Kafka-based autoscaling and monitoring (Prometheus, Filebeat, Uptime Kuma, Elasticsearch).
• Automated deployments with GoCD, cron, shell scripting, and managed workflows using Google Cloud Functions & Prefect.
• Worked with Hadoop, Hive, Hudi, Spark, and Trino; managed GCS, S3, and Kubernetes PVCs.
• Secured SSH key-based authentication and optimized VPC networking with secondary IP ranges.

A results-driven engineer blending DevOps, AI/ML infrastructure, and cloud cost optimization for scalable and efficient solutions

Zee Entertainment Enterprises Limited is an indian media-entertainment company with an OTT platform zee5 and other products.

• Provisioned various highly available/scalable cloud resources in GCP and Azure(AKS microservice deployments).
• Contributed 100% in migration of cloud resources, microservices , ISVs and cloud resources across environments till production in GKE with high availability and scalability of apps.
• Practiced infrastructure provisioning using Terraform , maintaining infrastructure consistency and enabling version-controlled changes.
• Executed PoC for new technologies such as selenium-grid (automation testing) etc., Increased productivity of various teams by at least 30%.
• Contributed to Troubleshooting and RCA of various application and DB issues with ArgoCD.
• Tuned & optimized various cloud resources with maximum productivity and least cost.
• Manged Identity and Access Management (IAM) to various individuals,microservices and also across the cloud resources in GCP following principle of least privilege.
• Provided 24/7 on-call & weekend support for critical systems when required, ensuring high availability and faster issue resolution.