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Cloud Engineer Infrastructure Automation

Location:
Idylwood, VA, 22043
Posted:
July 28, 2025

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Resume:

Sunny Khanorkar Cloud Engineer

*****@***********.*** 571-***-**** USA LinkedIn

Summary

Results-driven Cloud Engineer with 3+ years of expertise in designing, implementing, and managing cloud infrastructure and DevSecOps pipelines across AWS and Azure environments. Skilled in infrastructure automation, container orchestration, and cloud security to enhance system reliability and operational efficiency. Proficient in scripting, monitoring, and integrating security tools to ensure compliance and reduce risks. Strong collaborator with a focus on continuous improvement, automation, and delivering scalable, secure cloud solutions that support business goals and accelerate deployment cycles. Technical Skills

• Cloud Platforms: AWS (EKS, CodePipeline, CodeBuild, Security Hub, IAM), Azure (Monitor, Event Hub, Logic Apps, Log Analytics Workspace)

• Containerization & Orchestration: Docker, Kubernetes (AWS EKS), Helm Charts

• Infrastructure as Code (IaC): Terraform (modules, version control), Ansible, PowerShell DSC

• CI/CD & DevSecOps: AWS CodePipeline, CodeBuild, Jenkins (optional mention if applicable), Aqua Security, Clair, SonarQube

• Monitoring & Logging: Azure Monitor, Prometheus, Grafana, Log Analytics, CloudWatch

• Scripting & Automation: Bash, Shell, Python, PowerShell, Shell scripting for automation and remediation

• Security & Compliance: AWS Security Hub, Container scanning tools, Automated security testing, Policy enforcement, RBAC

• Version Control & Collaboration: Git, GitHub/GitLab (assumed but important)

• Incident Management & Notifications: ServiceNow, Microsoft Teams, Automated alerting workflows

• Networking & Cloud Concepts: VPC, Subnets, Security Groups, IAM policies, Cloud architecture best practices Professional Experience

Cloud Engineer, KPMG 10/2024 - Present Remote, USA

• Worked on Cloud-Native DevSecOps Pipeline Setup; established secure CI/CD pipelines on AWS for a technology client’s microservices applications. Collaborated with developers, security, and infrastructure teams through requirement gathering sessions to define pipeline scope and security standards.

• Integrated AWS CodePipeline and CodeBuild with container scanning tools such as Aqua Security and Clair. Automated security tests in pipeline stages using Shell and Bash scripts to enforce compliance and deliver real-time feedback reducing vulnerabilities by 55%.

• Automated provisioning of AWS EKS clusters and related infrastructure using Terraform. Developed reusable Terraform modules and leveraged version control reducing environment setup time by 60% and minimizing manual errors in configuration deployments.

• Implemented security scans and code quality checks using AWS Security Hub and SonarQube integrated into the CI/CD pipeline. Used Bash scripts for automated remediation and notifications enhancing security compliance and reducing security incidents by 45%.

• Deployed microservices on AWS Elastic Kubernetes Service using Helm charts. Created detailed documentation including pipeline architecture, runbooks, and security policies. Achieved a 40% faster deployment cycle and improved operational consistency. Cloud Engineer, NTT DATA 04/2021 – 08/2023 Maharashtra, India

• Built a centralized monitoring system for hybrid cloud infrastructure by collaborating with stakeholders, gathering detailed requirements, defining KPIs, and aligning monitoring scopes across Azure and on-premises environments to improve operational visibility by 60%.

• Integrated Azure Monitor and on-premises metrics using Log Analytics Workspace, custom exporters, and Azure Monitor REST APIs along with Azure Event Hub for efficient log ingestion and consolidated telemetry collection.

• Configured Grafana and Prometheus dashboards to visualize infrastructure health and application metrics, integrating Azure Monitor as the primary data source and implementing role-based access control for secure multi-team access.

• Automated monitoring agent installation and configuration on Azure Linux and Windows VMs using Ansible, PowerShell DSC, Python, Shell, and Bash scripts to ensure consistent setup and reduce manual errors by 70%.

• Designed and implemented alerting workflows using Azure Alerts and Logic Apps, integrated with ServiceNow and Microsoft Teams to enable real-time notifications, automated incident ticketing, and reduced incident response time by 40%.

• Used Terraform to provision monitoring infrastructure as code maintaining repeatability and version control; documented architecture, operational runbooks, and onboarding procedures which enhanced team onboarding speed by 50%. Education

Virginia Polytechnic Institute and State University (Virginia Tech) Falls Church, VA, USA Master of Engineering in Computer Engineering 08/2023 – 05/2025 Rajiv Gandhi College of Engineering and Research (Nagpur University) Nagpur, India Bachelor of Engineering in Computer Science Engineering 07/2018 – 07/2022



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