Venkat P

● Led multi-cloud DevOps and MLOps transformation, architecting and automating scalable infrastructure across AWS and Azure. Built end-to-end CI/CD pipelines with Azure DevOps and GitHub Actions, integrating Terraform, Pulumi and GitOps (ArgoCD, FluxCD) for consistent, secure and version-controlled deployments. Delivered MLOps infrastructure using Azure ML and AWS SageMaker, automating model training, deployment and monitoring with MLflow and Weights & Biases. Enhanced reliability and observability through Prometheus, Grafana, Datadog and OpenTelemetry and implemented service mesh (Istio, Linkerd) for secure microservice communication. Championed cost optimization, automation and operational excellence, reducing release cycles by 60% and enabling scalable AI-driven workloads across hybrid environments.

● Led modernization of legacy infrastructure to GCP, migrating workloads to Kubernetes (GKE) and implementing GitOps-driven CI/CD pipelines with GitHub Actions and ArgoCD, reducing build and deployment times by 40%. Designed and automated MLOps and LLMOps pipelines using Kubeflow, Vertex AI and LangChain, enabling scalable, real-time AI model training and inference across GPU-enabled clusters. Architected serverless data pipelines with Cloud Functions, Pub/Sub and Bigtable, achieving 99.99% uptime and strengthened observability with Prometheus, Grafana and OpenTelemetry for predictive alerting and proactive remediation. Drove multi-cloud readiness, IaC standardization with Terraform and Pulumi and integrated security automation (Trivy, Checkov, Vault), fostering a secure, compliant and AI-ready DevOps ecosystem.

● Contributed to the design and automation of high-performance cloud infrastructure on Azure, leveraging Terraform, ARM templates and Ansible for secure and scalable deployments. Built and optimized CI/CD pipelines with Jenkins and GitHub Actions, integrating SonarQube, OWASP ZAP and Checkov for security and compliance automation. Orchestrated containerized microservices on Kubernetes, implementing canary releases, autoscaling (KEDA) and GitOps workflows with ArgoCD for consistent, zero-downtime deployments. Strengthened observability through Prometheus, Grafana, ELK and Open Telemetry and tuned Envoy, Nginx and Caddy for high-performance, secure service delivery. Partnered with SRE teams to embed shift-left performance testing, improving reliability and deployment velocity across multi-cloud environments.

Designed and automated hybrid cloud infrastructure on AWS and on-premise environments, leveraging Terraform, Ansible and Puppet for consistent, version-controlled provisioning. Developed Go-based backend services and transitioned workloads from Docker Swarm to Amazon EKS, improving scalability, fault tolerance and performance. Built and optimized CI/CD pipelines with Jenkins and Bitbucket Pipelines, integrated with CodeDeploy and Nexus, streamlining deployments and reducing operational overhead. Enhanced observability by migrating from Nagios to Prometheus and Grafana and strengthened security through SOPS and AWS Secrets Manager integration. Drove Agile delivery and IaC adoption, enabling faster, more reliable releases and modernizing hybrid infrastructure management.

Contributed to secure, scalable and automated infrastructure operations by administering and optimizing RHEL-based Linux systems with SELinux, firewall hardening and audit policy configurations. Automated routine tasks and system maintenance using Bash, Python, cron and systemd, improving efficiency and uptime. Deployed and managed containerized workloads using LXC and Docker, implemented configuration management with Puppet and enhanced monitoring via Nagios integrated with Slack and PagerDuty for faster incident response. Strengthened infrastructure resilience through modernized backup systems (BorgBackup/Restic), GPG/SOPS-based secret management and virtualization using KVM/libvirt for dev/test environments — enabling consistent, compliant and high-performance operations.