Rahul Jain

Built infrastructure to support AI/ML workloads; provisioned GPU (H100/A100) and TPU-attached machines on GKE and GCE; developed reusable Terraform modules to provision private GCP services including Cloud SQL, BigQuery, Vertex AI Studio, GKE, and API gateway with Kong and APIM on Azure; hosted infrastructure for LLM on autoscaling GKE; set up multi-regional API endpoints; implemented MLOps practices via Azure DevOps pipelines; containerized microservices and deployed them with Blue/Green and canary strategies; collaborated with Infosec to maintain security compliance; maintained real-time Kafka pipelines on GCP.

Built reusable Terraform modules to provision private GKE, EKS clusters and other GCP/AWS services (Cloud SQL, IAM, Filestore, Artifact Registry, Secret Manager, KMS with CMEK, Networking, VPC, etc.); developed centralized system for provisioning Kubernetes clusters across multiple clouds; containerized microservice applications and deployed them with Blue/Green and canary strategies; implemented Kubernetes best practices using GCP foundation toolkit; authored OPA policies and Calico network policies; created automation scripts with Python Google APIs and scheduled via CI/CD Jenkins pipelines; managed Secret Manager and rotation policies; partnered with Infosec to adhere to security guidelines.

Architected and built a central IT Datalake in GCP with Kafka integration; built CI/CD automation pipelines (Jenkins, GitHub, Terraform, Ansible) to provision GKE, Docker, GCE, Dataproc, Dataflow, Cloud SQL, and BigQuery as code; implemented scalable Airflow infrastructure for workflow scheduling; maintained and scaled production Hadoop, Kafka, and Spark clusters; managed encryption at rest and Kafka security (SSL/Kerberos, ACLs); implemented certificate renewal with zero downtime and configured monitoring via Prometheus and Grafana.