Senior Cloud Platform Engineer with 9+ years of experience designing, automating, and operating scalable cloud platforms across SaaS, healthcare, and enterprise environments. Strong expertise in AWS, Azure, Kubernetes, T…
Senior Cloud Platform Engineer with 9+ years of experience designing, automating, and operating scalable cloud platforms across SaaS, healthcare, and enterprise environments. Strong expertise in AWS, Azure, Kubernetes, Terraform, CI/CD, GitOps, Infrastructure as Code, and Site Reliability Engineering. Proven success improving system availability, reducing MTTR, and accelerating deployments through automation and SRE best practices. AWS Certified DevOps Engineer – Professional and Microsoft Certified: DevOps Engineer Expert with expertise supporting secure, highly available, and compliance-driven cloud environments.
<p>Design and operate scalable AWS cloud platforms supporting enterprise data workloads, cloud-native applications, and internal engineering platforms.<br>
Build and manage Kubernetes platforms using Amazon EKS, Docker, Helm, and container orchestration best practices.<br>
Develop reusable Infrastructure as Code solutions using Terraform, OpenTofu, AWS CDK, CloudFormation, and standardized automation modules.<br>
Build CI/CD and GitOps workflows using GitHub Actions, Jenkins, Azure DevOps, and ArgoCD to improve deployment reliability and engineering velocity.<br>
Support data engineering and AI/ML workloads by building reliable cloud infrastructure, automation frameworks, and production-ready environments.<br>
Develop Python and Go automation tools to reduce operational overhead and improve engineering productivity.<br>
Implement enterprise observability using Datadog, Prometheus, Grafana, CloudWatch, and OpenTelemetry.<br>
Apply SRE practices including SLI/SLO monitoring, error budgets, incident response, RCA, and reliability improvements.<br>
Support enterprise cloud environments across 25+ AWS accounts, 12+ Kubernetes clusters, and 150+ production services.<br>
Reduced manual infrastructure operations by approximately 60% through automation, standardization, and platform improvements.</p>
<p>Managed AWS-based SaaS infrastructure and supported Azure environments for security compliance automation platforms with high availability requirements.<br>
Automated cloud infrastructure using Terraform, AWS services, and reusable Infrastructure as Code modules.<br>
Supported Kubernetes environments across Amazon EKS and Azure AKS using Docker, Helm, RBAC, and container security practices.<br>
Built and maintained CI/CD and GitOps pipelines using GitHub Actions, Jenkins, Azure DevOps, AWS CodePipeline, and ArgoCD.<br>
Improved production visibility through Datadog, Prometheus, Grafana, CloudWatch, and centralized logging platforms.<br>
Implemented SRE practices including SLI/SLO monitoring, error budgets, incident management, RCA, and postmortems.<br>
Achieved 99.95%+ service availability through automation, monitoring, and reliability improvements.<br>
Built AIOps monitoring pipelines with Prometheus, Grafana, and custom REST-API integrations, reducing alert noise by ~30%.<br>
Reduced MTTD from approximately 18 minutes to 5 minutes through improved alerting, monitoring, and observability.<br>
Reduced MTTR by approximately 45% through automation, incident response improvements, and root cause analysis.<br>
Reduced infrastructure provisioning time by approximately 70% through Terraform automation.<br>
Supported SOC 2 compliance across 50+ production services through security controls, automation, and infrastructure hardening.</p>
<p>Managed enterprise AWS production environments supporting customer-facing applications using EC2, ECS, Lambda, S3, RDS, IAM, VPC, and CloudFormation.<br>
Built event-driven systems using Kafka, RabbitMQ, and Redis caching to improve application performance.<br>
Automated infrastructure provisioning using Terraform, AWS CDK, CloudFormation, Python, and Bash.<br>
Built and improved CI/CD pipelines using Jenkins, AWS CodePipeline, CodeBuild, and CodeDeploy.<br>
Improved deployment reliability through automation, release standardization, and operational improvements.<br>
Applied SRE practices including monitoring, incident response, RCA, postmortems, and reliability engineering.<br>
Supported environments across 30+ AWS accounts and 100+ application workloads.<br>
Improved deployment efficiency by approximately 50% through CI/CD automation.<br>
Supported production systems targeting 99.9%+ availability.</p>
<p>Developed healthcare applications using Java, C#, .NET, ASP.NET, and SQL Server.<br>
Built backend services, APIs, and database solutions supporting healthcare data platforms.<br>
Supported HIPAA and HITRUST-compliant applications through secure development practices and performance optimization.<br>
Collaborated with engineering teams to improve application reliability, scalability, and maintainability.</p>
<p>Automated AWS infrastructure provisioning using Terraform, CloudFormation, Python, and Bash.<br>
Supported AWS compute, networking, storage, IAM, monitoring, and security services.<br>
Developed CI/CD automation workflows supporting application deployment processes.<br>
Created automation solutions reducing repetitive operational tasks and improving engineering productivity.<br>
Supported cloud migration projects, production troubleshooting, monitoring, and incident resolution.<br>
Improved operational stability through infrastructure automation and proactive monitoring.<br>
Supported environments with 100+ EC2 workloads and multiple production applications.<br>
Reduced manual operational effort by approximately 40% through automation.</p>
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