Rajavardhan
Lead Cloud Engineer | DevOps & Cloud Architecture Specialist
8404 MEMORIAL LN, 75024, Raleigh, US.About
Highly accomplished Lead Cloud Engineer with over 10 years of experience in Cloud and DevOps, specializing in multi-cloud environments (AWS, Azure, GCP), CI/CD automation, and infrastructure as code. Proven ability to design, implement, and optimize scalable, secure, and cost-effective cloud solutions, leading cross-functional teams and driving successful migrations with zero downtime. Seeking to leverage expertise in cloud architecture, automation, and performance optimization to deliver significant business impact in a dynamic technology environment.
Work
Raleigh, NC, US
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Summary
Led a 10-member team in designing and implementing robust multi-cloud (AWS & GCP) CI/CD pipelines and infrastructure migrations, ensuring seamless operations and enhanced development workflows.
Highlights
Led a 10-member team in designing and implementing CI/CD pipelines with Jenkins and GitHub Actions, automating image builds and streamlining deployment processes across diverse environments.
Directed the successful migration of production workloads from AWS EC2 to GCP Compute Engine and RDS MySQL to Cloud SQL, achieving zero downtime and seamless service transition.
Re-architected AWS Lambda-based workflows to GCP Cloud Functions and migrated S3 bucket storage to Google Cloud Storage, optimizing event-driven microservice design and data parity.
Automated cloud infrastructure provisioning and management across AWS and GCP using Terraform, AWS CloudFormation, and Ansible, reducing manual redundant tasks.
Enhanced application performance and reliability by deploying ELK Stack for centralized log aggregation from multiple microservices running in Kubernetes ECS.
Irving, TX, US
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Summary
Spearheaded multi-cloud migrations and infrastructure optimization initiatives, delivering enhanced performance, security, and disaster recovery capabilities for critical applications.
Highlights
Migrated AWS S3 workloads to GCP Cloud Storage, configuring bucket-level IAM, lifecycle rules, object versioning, and transfer jobs via gsutil and Storage Transfer Service.
Deployed and optimized Cloud SQL instances (PostgreSQL/MySQL) for transactional applications, leveraging read replicas, point-in-time recovery, and Cloud IAM database roles.
Designed and provisioned multi-region failover architecture with Global Load Balancers, ensuring high availability and disaster recovery readiness for critical workloads.
Implemented Private Link and VPC Peering to securely connect services across VPCs without traversing the public internet, reducing data exfiltration risks.
Configured GCP Shared VPCs and Service Projects, enabling centralized network control while delegating compute resources to different teams under the same organization.
Ridgefield Park, NJ, US
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Summary
Engineered and maintained highly available, fault-tolerant cloud solutions, optimizing CI/CD pipelines, security posture, and cost efficiency for serverless and containerized applications.
Highlights
Designed and maintained fully automated AEM CI/CD pipelines using Jenkins and GitHub Actions, improving deployment efficiency and scalability.
Successfully delivered multiple AWS Lambda-based projects, including data processing pipelines and real-time analytics, ensuring high availability and reliability.
Implemented robust security measures, including IAM, encryption, and network segmentation, achieving compliance with industry standards and AWS Well-Architected Framework.
Utilized AWS CDK and TypeScript to implement cost-saving measures such as auto-scaling and spot instances for a data analytics platform, reducing monthly AWS costs by 30%.
Configured and managed Kubernetes/EKS clusters for container orchestration, ensuring scalable, resilient application deployments with integrated Istio for traffic management and security.
Dallas, TX, US
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Summary
Developed and deployed scalable cloud infrastructure and microservices, leveraging Infrastructure as Code (IaC) and CI/CD pipelines to enhance performance and security.
Highlights
Authored and published Terraform modules to the Terraform registry, enabling enterprise customers to deploy products efficiently within the AWS environment.
Developed CI/CD pipelines using AWS CDK and TypeScript for mobile app backends, automating testing and deployment processes across multiple environments.
Implemented data processing pipelines using AWS Lambda to transform and store data, integrating with third-party APIs to extend application functionality.
Optimized application performance using AWS services (CloudFront, Lambda, RDS) and fine-tuned Helm charts for Kubernetes, enhancing resource utilization and scalability.
Configured CloudWatch for comprehensive monitoring and logging, providing insights into application performance and health for a logistics management system.
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Summary
Designed and implemented scalable multi-cloud architectures (AWS, Azure, GCP), enhancing security, optimizing costs, and ensuring high availability for enterprise applications.
Highlights
Integrated AKS with Azure Container Registry (ACR) for seamless image storage and retrieval, optimizing containerized application deployments.
Designed and implemented scalable GCP architecture utilizing Compute Engine, Cloud Storage, and Cloud Functions to support enterprise workloads.
Conducted regular cost analysis and implemented cost-saving strategies using right-sizing instances and Reserved Instances, optimizing cloud expenditure.
Designed and implemented scalable and resilient network architectures, including LAN/WAN configurations and network segmentation, for enterprise environments.
Set up comprehensive logging and monitoring using Amazon CloudWatch, AWS CloudTrail, and AWS Config to detect and respond to security incidents proactively.
Los Angeles, CA, US
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Summary
Managed build and release processes, implemented cost management strategies, and optimized infrastructure performance and security for cloud environments.
Highlights
Implemented cost management strategies, including the use of reserved instances, auto-scaling, and spot instances, to optimize cloud expenditures.
Optimized GitHub Enterprise performance by monitoring repository activity and implementing best practices for repository management.
Implemented security best practices in CI/CD pipelines, including secret management, code signing, and vulnerability scanning, ensuring secure software delivery.
Utilized Istio's policy enforcement and telemetry features to ensure compliance with organizational security standards and gain insights into service performance.
Regularly reviewed and tuned infrastructure for performance improvements, including optimizing database queries and reducing latency.
Hyderabad, Telangana, India
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Summary
Administered Linux servers and automated tasks, ensuring high availability and security for on-premises and early cloud environments.
Highlights
Performed application installation, upgrades, patching, troubleshooting, maintenance, and monitoring of Linux (RHEL) servers, ensuring operational stability.
Automated task execution, service management, and application deployment using Jenkins and Ansible, improving efficiency.
Performed security setup, networking, system backup, and patching for both AWS and on-premises environments, enhancing system resilience.
Migrated high-availability zone servers and databases to AWS EC2 and RDS with no minimum downtime, ensuring continuous service availability.
Configured and locked down security groups to authorized subnets and IP addresses in AWS, strengthening network security.
Languages
English
Skills
Languages
JSON, YAML, Groovy, Terraform, Shell, Bash, Python.
Operating Systems
RedHat Linux, CentOS, Windows Servers, Cloud Services.
Build Tools
Maven, Ant, Docker.
Versioning Tools
GIT, GitHub, Gitlab, Bitbucket.
Amazon Web Services (AWS)
EC2, S3, VPC, AWS SFTP, SNS, SES, Route53, Cloud Watch, Cloud Trail, IAM, SQS, Lambda, ECS, EKS, RDS, AWS CLI, Cloud Front.
Monitoring Tools
Cloud Watch, Nagios, Grafana, Prometheus, AppDynamics Splunk, New Relic, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Pager Duty.
Cloud Services
Amazon Web Services, Azure Cloud, Google Cloud Platform (GCP).
Application Servers
Apache, Tomcat, JBoss, Web Logic.
CI/CD Tools
Gitlab, GitHub, Git, Jenkins, Bamboo, SonarQube, White Source, Chef, Docker, Kubernetes, Ansible, Nexus, Jfrog, Veracode, Azure DevOps, GitHub Actions, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy.
Other Tools & Protocols
Network Protocols WinSCP, SSH, VPN, HTTP, HTTPS, FTP, DNS, TCP/IP, SNMP, Maven, ANT.
Virtualization
VMware Client, Virtual Box, Vagrant, vRealize.
Database Technologies
Oracle, MySQL, NoSQL, MongoDB, Cassandra, DynamoDB, PostgreSQL, Cloud SQL, BigQuery.
Cloud Native Services
Istio, Helm, Kubernetes ECS, Kubernetes EKS, GCP Cloud Functions, GCP Cloud Storage, GCP Compute Engine, AWS Lambda, API Gateway, AWS CDK, TypeScript.
Infrastructure Management
Infrastructure as Code (IaC), CloudFormation, Terraform, Ansible, Docker Swarm, Apache Mesos, GitOps, Helm charts, VPC, Subnetting, NAT Gateway, Internet Gateway, Route Tables, NACLs, Load Balancers (ALB, NLB), Auto Scaling, Cloud Interconnect, Direct Connect, VPC Flow Logs, GCP Packet Mirroring, DNS-based routing (Route 53, Cloud DNS).
Development Practices
Microservices Architecture, Event-Driven Architecture, Python, Java 8, Spring Boot, Go, RESTful APIs, Test-Driven Development (TDD), Concourse, Backstage.
Data & Analytics
BigQuery, AWS Redshift, Data Factory, Data Warehousing, Data Processing Pipelines, Data Archival, Glacier.
Methodologies
Agile, Scrum, Waterfall, DevOps, Site Reliability Engineering (SRE).
Security & Compliance
IAM, VPC Service Controls, AWS KMS, GCP Cloud KMS, AWS Organizations SCPs, GCP Organization Policies, Snyk, Binary Authorization, AWS ECR scanning, AWS IAM Identity Center (SSO), GCP Identity-Aware Proxy (IAP), SAML/OAuth2, AWS Config, AWS Security Hub, Network Security Groups (NSGs), Application Security Groups (ASGs), SSL/TLS, Firewalls, Intrusion Detection/Prevention Systems (IDS/IPS).