Bhanu Murthy A.

About Bhanu Murthy A.

Senior DevOps & Cloud AI Engineer with 7+ years of hands-on expertise building secure, scalable, and highly available infrastructures across AWS, Azure, and GCP. I specialize in orchestrating complex AI/ML workloads using Kubernetes (EKS, AKS, GKE), Docker, and advanced service meshes, achieving 99.95%+ uptime even under global surges. Passionate about automating everything with Terraform, Ansible, and CloudFormation, embedding GitOps & robust CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab) pipelines integrated with DevSecOps checks. I’ve containerized GPU-intensive ML models, managed multi-region DR with sub-second failovers, and driven real-time prediction platforms that cut decision lags by 80%. Obsessed with observability, I build deep SLI/SLO stacks using Prometheus, Grafana, Dynatrace, and ELK, tying them with PagerDuty & Slack for proactive incident response. My work consistently reduces MTTD & MTTR by 50%, ensuring user trust. Open to Corp-to-Corp (C2C) opportunities across the USA — remote, hybrid, or onsite — with a focus on innovative cloud, DevOps, and AI infrastructure projects.

Experience

1. Senior Devops Ai Engineer

   Aetna, A Cvs Health Company

   Jan 2025 — Present · Atlanta, GA, US

   As a Senior DevOps AI Engineer at CVS/Aetna, I lead the architecture and delivery of secure, GPU-accelerated AI/ML infrastructure across Azure, GCP, and AWS (EKS) to support real-time healthcare analytics and predictive intelligence at scale. I specialize in designing GPU-optimized environments, automating infrastructure with Terraform, and driving CI/CD pipelines using Azure DevOps and GitHub Actions, ensuring high performance, availability, and compliance across all cloud platforms.My role focuses on GPU capacity planning, autoscaling, and resource optimization by monitoring real-time trends using Azure Monitor, Grafana, and Log Analytics. I deploy Dockerized ML models on AKS and build event-driven pipelines with Azure Functions and Event Grid, achieving sub-second inference latency during high-load conditions. I proactively forecast GPU demand, reduce underutilization, and enable cost-effective resource allocation across production environments.I\'ve built robust CI/CD pipelines integrated with Terraform Cloud, Postman, and security validation gates to improve release reliability by over 60%. With expertise in Python, Shell scripting, and Helm, I automate deployments, enforce policy-as-code, and maintain observability for mission-critical AI workloads. My contributions directly enhance patient care through resilient, secure, and highly responsive cloud-native AI systems.

Education

• DVR & Dr. Hima Sekahr MIC College of Technology

  Bachelor of Technology - BTech

• University of Bridgeport

  Master of Science - MS