Anurag Josyula
+1-202-***-**** Kendall Park, NJ ***************@*****.*** LinkedIn GitHub Portfolio SUMMARY
DevOps and Cloud Engineer with 2+ years of experience building, automating, and scaling cloud-native infrastructure across AWS and Azure. Strong expertise in Terraform, Kubernetes, CI/CD, and infrastructure hardening. Proven impact in reducing deployment time, improving system reliability, and optimizing cloud costs across production environments. SKILLS
• DevOps and Automation: CI/CD (Jenkins, GitHub Actions, Azure Pipelines, Azure DevOps), Docker, Kubernetes, Helm, NGINX Ingress, Terraform, Packer, Ansible, GitOps (ArgoCD), SonarQube, Semgrep, Trivy, SAST, secrets scanning
• Cloud Platforms: AWS (EC2, S3, IAM, VPC, RDS, ECS, EKS, Lambda, CloudWatch, SNS, SQS, EventBridge, Fargate, CloudTrail, Rekognition, Secrets Manager, Parameter Store, ALB), Azure (AKS, ACR, Azure DevOps, Key Vault, Azure Functions, Virtual Networks, Azure Monitor, Log Analytics, App Services)
• Observability and Monitoring: Prometheus, Grafana, Fluent Bit, AWS CloudWatch, Datadog (APM, traces, logs, dashboards), Azure Monitor, PagerDuty, Splunk, alerting pipelines, SLO/SLA tracking, distributed tracing
• Networking and Security: TCP/IP, DNS, VPNs, Firewalls, Load Balancers, Auto Scaling, NAT Gateways, TLS, IAM, Entra ID, RBAC, PCI-DSS aligned segmentation, HITRUST, DevSecOps
• Programming and Scripting: Python, Bash, PowerShell, SQL, YAML, HCL, Git, Linux
• AI and Platform Engineering: AWS Rekognition, Lambda ML inference pipelines, Kubernetes HPA with custom metrics, Cluster Autoscaler, microservices architecture, event-driven systems, Infrastructure as Code (IaC), GitOps workflows PROFESSIONAL EXPERIENCE
DevOps Engineer Aug 2025 – Present
Vibes Meet LLC – New York, NY
• Designed and deployed a multi-service AWS ECS architecture for payments, content delivery, and live streaming workloads, maintaining sub-200ms API latency at 10,000+ concurrent users.
• Built hardened AMIs using Packer and automated EC2 provisioning with Ansible for ECS worker nodes, reducing instance bootstrap time by 50% and ensuring consistent, secure runtime environments.
• Developed reusable Terraform modules for ECS, VPC, IAM, ALB, and ECR, reducing infrastructure provisioning by 26% across dev, staging, and production environments.
• Implemented CI/CD pipelines using GitHub Actions with Docker builds, Trivy security scans, and automated ECS deployments with rollback mechanisms, reducing deployment time by 35%.
• Engineered an AI-driven content moderation and user verification pipeline using AWS Rekognition and Lambda, automatically scanning user-uploaded images and media, reducing manual review workload by 60% and improving platform safety compliance.
• Built centralized logging and alerting using Fluent Bit and CloudWatch with SNS-based incident notifications to Slack, reducing mean time to detect production issues by 40%.
Tech Support Specialist Sep 2023 – May 2025
George Mason University – Fairfax, VA
• Automated user provisioning and license assignment across Microsoft 365 using PowerShell and Entra ID, reducing onboarding time by 40% across a 5,000-user environment.
• Managed Exchange Online mailboxes, distribution groups, and Microsoft Intune endpoint compliance, maintaining device compliance rates above 95%.
• Resolved hardware, software, and network issues across Windows, macOS, and Linux systems, maintaining 95% ticket resolution within SLA.
DevOps Engineer May 2021 – May 2023
NationsBenefits India – Hyderabad, India (On-site)
• Built and maintained Azure DevOps CI/CD pipelines for 12+ microservices powering a healthcare CRM and e-commerce platform, integrating SAST, Docker, ACR, Helm, and AKS deployments, reducing release cycle time by 40%.
• Authored and managed Terraform-based infrastructure for AKS, Virtual Networks, NSGs, ACR, Key Vault, and Log Analytics, standardizing 4+ environments and eliminating configuration drift through modular IaC and remote state.
• Built hardened Azure VM images using Packer and automated provisioning with Ansible for VM and AKS node configuration, reducing environment setup time by 50% and improving deployment consistency by 80%.
• Containerized and deployed workloads on AKS with optimized resource limits, health probes, and rolling updates, improving compute utilization by 28% and maintaining 99.9% uptime for member-facing applications.
• Implemented Azure Monitor and Log Analytics dashboards with alerting pipelines, reducing meantime to detect (MTTD) incidents by 35% and improving operational visibility across environments. EDUCATION
George Mason University, Fairfax, VA May 2025
M.S. Computer Engineering
CERTIFICATIONS
AWS Certified Solutions Architect – Associate
Credential: 807b5556
Network Security Fundamentals – Udemy