Prasanth Namana

About Prasanth Namana

I’m an Azure Cloud Engineer with over 10+ years of experience in cloud infrastructure management, Active Directory administration, and DevOps automation. I specialize in designing, deploying, and maintaining secure and scalable Azure environments to improve performance and cost efficiency.I’ve worked extensively with Azure AD, Office 365, AWS, Terraform, and cloud security frameworks, enabling seamless hybrid environments and streamlined CI/CD workflows. My hands-on experience with infrastructure provisioning, identity management, and resource optimization helps organizations achieve cloud resilience and operational excellence.Certified in Microsoft Azure Administrator (AZ-104) and Azure Fundamentals (AZ-900), I continuously focus on learning and implementing modern DevOps and automation tools to improve cloud governance and compliance.Currently, I’m seeking opportunities where I can leverage my technical expertise and problem-solving mindset to contribute to cloud modernization, infrastructure automation, and secure digital transformation.

Experience

1. Site Reliability Engineer

   Argyll Infotech Inc

   Oct 2025 — Present · Chicago, IL, US

   Designed, implemented, and maintained highly available, scalable, and resilient infrastructure across cloud/on-prem environments following SRE principles.Developed automation for infrastructure provisioning, deployments, and configuration using tools like Terraform, Ansible, Helm, PowerShell, and Python.Built and maintained CI/CD pipelines (Azure DevOps / GitHub Actions / Jenkins) to automate application builds, testing, and deployments.Implemented Monitoring, Logging & Alerting using Prometheus, Grafana, ELK/EFK, CloudWatch, Azure Monitor, and Splunk, ensuring visibility across system performance and reliability.Managed uptime, SLO/SLI/SLA definitions, error budgets, and drove operational excellence through data-driven decisions.Supported production systems through on-call rotations, incident response, root cause analysis (RCA), and post-mortem reviews.Integrated Observability practices to track system performance, latency, throughput, and failure patterns.Automated repetitive operational tasks, reducing manual workloads and minimizing human error.Improved deployment strategies using blue/green deployments, rolling updates, and canary releases ensuring minimal downtime.Strengthened system reliability by implementing auto-scaling, load balancing, and disaster recovery strategies.Secured production environments with identity/access control, secrets management, and compliance best practices.Optimized system performance through capacity planning, cost optimization, and resource utilization analysis.Managed and supported containerized environments using Docker & Kubernetes, including cluster lifecycle management, health checks, and pod autoscaling.Collaborated closely with development teams to improve service reliability, resilience, and performance from design through production.Maintained Infrastructure-as-Code (IaC) repositories, version control, and GitOps workflows for consistent deployments.

Education

• Lewis University

  Master's degree, Computer Science

• Regency Institute of Technology

  Bachelor of Technology - BTech, Electrical and Electronics Engineering