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I'm a Cloud and DevOps Engineer with 3+ years of experience designing and managing Kubernetes-based cloud infrastructure across AWS, Azure, and GCP. I specialize in cloud cost optimization, CI/CD automation, SLO/SLI reliability engineering, and GitOps-driven deployments using Terraform, Helm, ArgoCD, and AI-driven automation. I enjoy working with microservices platforms, RBAC security, incident management, and production-grade observability to deliver reliable, scalable systems. I value collaboration, continuous learning, and applying practical solutions to complex problems.…I'm a Cloud and DevOps Engineer with 3+ years of experience designing and managing Kubernetes-based cloud infrastructure across AWS, Azure, and GCP. I specialize in cloud cost optimization, CI/CD automation, SLO/SLI reliability engineering, and GitOps-driven deployments using Terraform, Helm, ArgoCD, and AI-driven automation. I enjoy working with microservices platforms, RBAC security, incident management, and production-grade observability to deliver reliable, scalable systems. I value collaboration, continuous learning, and applying practical solutions to complex problems.

Deepak Vyas

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I'm a Cloud and DevOps Engineer with 3+ years of experience designing and managing Kubernetes-based cloud infrastructure across AWS, Azure, and GCP. I specialize in cloud cost optimization, CI/CD automation, SLO/SLI reliability engineering, and GitOps-driven deployments using Terraform, Helm, ArgoCD, and AI-driven automation. I enjoy working with microservices platforms, RBAC security, incident management, and production-grade observability to deliver reliable, scalable systems. I value collaboration, continuous learning, and applying practical solutions to complex problems.…I'm a Cloud and DevOps Engineer with 3+ years of experience designing and managing Kubernetes-based cloud infrastructure across AWS, Azure, and GCP. I specialize in cloud cost optimization, CI/CD automation, SLO/SLI reliability engineering, and GitOps-driven deployments using Terraform, Helm, ArgoCD, and AI-driven automation. I enjoy working with microservices platforms, RBAC security, incident management, and production-grade observability to deliver reliable, scalable systems. I value collaboration, continuous learning, and applying practical solutions to complex problems.

Available to hire

I’m a Cloud and DevOps Engineer with 3+ years of experience designing and managing Kubernetes-based cloud infrastructure across AWS, Azure, and GCP. I specialize in cloud cost optimization, CI/CD automation, SLO/SLI reliability engineering, and GitOps-driven deployments using Terraform, Helm, ArgoCD, and AI-driven automation.

I enjoy working with microservices platforms, RBAC security, incident management, and production-grade observability to deliver reliable, scalable systems. I value collaboration, continuous learning, and applying practical solutions to complex problems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Infrastructure Engineer (Contract Role) at Thoughtic Solutions

November 1, 2025 - Present

Diagnosed and resolved 15+ GCP Helm-based Kubernetes release failures across staging and production environments, applying GitOps practices to stabilize microservice rollouts and reduce deployment incidents. Enhanced cluster reliability by optimizing Helm values, tuning CPU/memory requests and limits, and improving Prometheus and Grafana observability dashboards, increasing SLO compliance and resource utilization efficiency.

Cloud and DevOps Engineer at Invi Grid

April 1, 2024 - October 1, 2025

Architected and deployed Azure AKS infrastructure using Terraform and Bicep with private endpoints, RBAC policies, and VNet integration, reducing manual provisioning effort by 60% and strengthening platform security posture. Managed Kubernetes clusters supporting 30+ microservices with autoscaling, rolling deployments, and zero-downtime releases, maintaining 99.9% SLA. Optimized Azure compute and storage resources through node pool right-sizing and cost optimization strategies, reducing monthly cloud infrastructure spend by 25%. Built Azure DevOps CI/CD pipelines using YAML with automated build, test, and release stages, reducing deployment time from 45 minutes to 10 minutes and increasing release frequency. Implemented Prometheus, Grafana, and Alertmanager monitoring for Kubernetes workloads with defined SLO/SLI targets, reducing mean time to resolve (MTTR) production incidents by 35%. Integrated AI agents into CI/CD pipelines for deployment validation and failure analysis, enabling a

DevOps Engineer at CyberArk

July 1, 2022 - March 1, 2024

Built scalable AWS infrastructure using Terraform across EKS, VPC, RDS, and S3 to support a Cloud Infrastructure Entitlement Management (CIEM) platform serving enterprise workloads. Developed an IAM Rule Evaluation Engine using Python and SQL on AWS, enforcing RBAC policies and improving security policy analysis efficiency by 40%, reducing manual security review overhead. Managed AWS EKS clusters and Docker-based deployments for production workloads, maintaining high availability and stable performance with defined incident management runbooks. Automated Jenkins CI/CD pipelines using Bash scripts, reducing manual deployment effort by 50% and improving release consistency across environments. Provisioned GCP GKE environments and Cloud Storage for testing and validation workloads using GitOps workflows, reducing environment setup time by 30%.