Cloud Engineer with AWS, IaC, and DevOps Expertise

Rajesh Kumar Anupur

CLOUD ENGINEER

551-***-**** *****************@*****.*** LinkedIn Michigan, USA

SUMMARY

Cloud Engineer with 4 years of hands-on experience in designing, implementing, and optimizing highly complex cloud infrastructures across various industries.

Expert in leveraging AWS services to architect scalable, secure, and cost-effective solutions with a deep understanding of cloud best practices and architectural patterns.

Highly proficient in Infrastructure as Code (IaC) tools such as Terraform, and skilled in automation scripting using Python to streamline cloud operations.

Proven expertise in migrating and managing diverse workloads, including microservices, databases, and enterprise applications, ensuring seamless cloud adoption and integration.

Demonstrated success in driving operational efficiency and reliability through the implementation of robust CI/CD pipelines and DevOps practices, enhancing deployment speed and reducing downtime.

Strong analytical and problem-solving abilities, consistently delivering high-performance, resilient cloud environments that meet and exceed business objectives.

Solid understanding of networking concepts such as VPC design, subnetting, load balancing, security groups, and IAM policies to ensure compliance and secure cloud environments.

Adept at implementing cost optimization strategies through resource right-sizing, auto-scaling, and reserved instance management, reducing monthly cloud expenditure.

Experienced in disaster recovery planning, multi-region deployments, and high availability architectures to enhance business continuity and resilience.

Strong analytical mindset with a focus on continuous improvement, automation, and cloud infrastructure reliability to support agile development and rapid scaling.

SKILLS

Cloud Platforms:

AWS (EC2, Lambda, ECS, EKS, S3, RDS, DynamoDB, CloudFront, ELB, VPC, IAM, CloudWatch, CloudFormation, Terraform, AWS CDK).

Automation & DevOps:

Ansible, Docker, Kubernetes, Jenkins, Git, GitHub, Code Pipeline, CodeBuild, CodeDeploy, Terraform.

Scripting & Programming:

Python, Bash, Agile, Scrum, CI/CD, Infrastructure as Code (IaC), Hybrid Cloud Networking PowerShell, JavaScript (Node.js).

Monitoring & Logging:

Prometheus, Grafana, ELK Stack, CloudTrail, CloudWatch

Security

AWS WAF, Shield, KMS, IAM, Security Groups, NACLs, AWS Security Hub

Networking:

VPC, Route 53, VPN, Direct Connect, AWS Transit Gateway.

Data Services

Redshift, Athena, Kinesis, EMR, AWS Glue, Data Lake Formation, Snowball, DMS

Compliance & Cost Management

HIPAA, GDPR, SOC, AWS Cost Explorer, AWS Budgets, Right-sizing, Spot Instances.

Tools & Methodologies:

Agile, Scrum, CI/CD, Infrastructure as Code (IaC), Hybrid Cloud Networking

EXPEIRENCE

Company: CloudEQ, USA (Aug 2023 – Present )

Role: Cloud Engineer

Designed and implemented scalable, secure AWS cloud infrastructure using EC2, ECS, Lambda, RDS, VPC, and S3, supporting mission-critical business applications and improving system reliability.

Automated infrastructure provisioning, configuration, and deployment using Terraform integrated with Jenkins CI/CD pipelines, achieving consistent, repeatable, and version-controlled environments.

Architected and managed multi-VPC environments across multiple AWS regions to improve network segmentation, compliance, and data protection, reducing security incidents by 35%.

Deployed and optimized containerized microservices using AWS ECS with Fargate, improving scalability, reducing manual provisioning time by 40%, and enhancing application resilience.

Implemented serverless architectures leveraging AWS Lambda, API Gateway, and CloudWatch, reducing backend latency by 30% and operational costs by 25%.

Developed Python automation scripts to streamline resource provisioning, configuration management, and performance monitoring, improving infrastructure efficiency and reducing manual workloads.

Improved system performance and resource utilization by optimizing code in C and C++, lowering computing costs and enhancing execution speed.

Managed and optimized AWS database services (RDS, DynamoDB, and MongoDB) ensuring high availability, data security, and compliance with organizational SLAs.

Configured end-to-end observability solutions using Prometheus and Grafana, improving incident response time by 45% and enhancing operational visibility across environments.

Built and maintained continuous integration and deployment (CI/CD) pipelines using Jenkins, AWS Code Pipeline, and Code Deploy, reducing deployment time by 50% and improving delivery reliability.

Implemented hybrid cloud networking using AWS Direct Connect, VPN, and Transit Gateway, enabling secure, high-throughput connectivity between on-premises and cloud environments.

Integrated DevSecOps practices into CI/CD pipelines, enhancing application security posture and reducing post-deployment vulnerabilities by 30%.

Created system benchmarking and performance testing using JMeter, ensuring applications met SLA-defined latency and throughput goals.

Conducted cloud cost optimization through resource rightsizing, instance scheduling, and use of Reserved Instances, reducing monthly infrastructure spend by 20%.

Company: HCL Tech, India (Apr 2020 – Jun 2022)

Role: Cloud Engineer

Built and optimized Azure infrastructure using core services like Azure Virtual Machines, Blob Storage, VNets, Azure SQL Database, and Active Directory, enabling the business to scale faster and improve application uptime by 25%.

Migrated legacy workloads to Azure through a phased approach, cutting infrastructure costs by 30% while improving overall system performance and reliability.

Automated infrastructure provisioning using Terraform and ARM templates, reducing manual effort by 40% and accelerating deployment cycles across multiple environments.

Designed secure and resilient network architectures leveraging VNets, NSGs, and Azure Firewall, ensuring compliance with internal security standards and industry best practices.

Developed custom automation scripts using JavaScript and PowerShell, which streamlined repetitive maintenance tasks and saved the operations team nearly 15 hours per week.

Optimized cloud storage solutions (Blob Storage, Managed Disks, Azure Files) to balance cost and performance, resulting in annual savings of approximately 20% in storage expenses.

Implemented robust backup and disaster recovery mechanisms using Azure Backup and Site Recovery, minimizing potential data loss and ensuring 99.9% business continuity.

Strengthened monitoring and observability using Azure Monitor, Log Analytics, and Application Insights, helping teams detect and resolve issues 35% faster.

Enhanced access and security management through Azure AD, RBAC, and Managed Identities, tightening user controls and reducing security incidents related to unauthorized access.

Collaborated with DevOps and development teams to build CI/CD pipelines in Azure DevOps, streamlining software delivery and reducing deployment time from hours to minutes.

Proactively optimized Azure spend through resource tagging, rightsizing, and reserved instance planning, improving cloud cost efficiency and budget predictability for the organization.

Established governance frameworks with Azure Policy and Blueprints to enforce compliance, prevent configuration drifts, and standardize deployments across environments.

Configured private endpoints, service endpoints, and ExpressRoute connections to enhance network security and ensure reliable hybrid connectivity with on-premises systems.

Worked with cross-functional stakeholders to align infrastructure initiatives with business priorities, reducing project turnaround time and improving delivery predictability.

Mentored junior engineers on Azure automation, governance, and cloud cost management, improving overall team productivity and maturity knowledge.

EDUCATION

Master of Science in Computer Science and Engineering

Wichita State University, Wichita, Kansas.

Bachelor of Technology in Computer Science and Engineering

Guru Nanak college, Hyderabad, India.

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