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Vinay Amara

Vinay Amara

Cloud & Devops Engineer

Talent
HyderabadMember since May 4, 2026
S3LambdaVPCRDSMGNGCPJenkinsHCP PackerTerraformAWS CodePipelinePythonBashKMSOpenSCAPDockerSlimkitDynamoDBVPNGitCosignAWS SignerGitLabGrafanaPrometheusSplunkawsKubernetescicdaws ec2aws eksgithub actionsgitlab ci
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About

Cloud & Devops Engineer with 3+ years of experience in the implementation of scalable cloud solutions and automation of the infrastructure. Proficient in AWS services, CI/CD pipelines, security protocols, and infrastructure optimization. Strong communication skills with experience creating architecture diagrams and documentation. Demonstrated success in migration projects and implementation of AWS best practices to enhance performance and reduce costs.

Experience

Cloud Engineer at Flentas Technologies Pvt. Ltd. (2023-04 – Present)

  • Architected a multi-region AWS Landing Zone using AWS Control Tower and Account Factory for Terraform, automating the provisioning and governance of over 15 accounts.
  • Implemented modular Terraform libraries to provision production-grade EKS, RDS, and OpenSearch clusters with standardized configuration and drift detection.
  • Designed a hybrid CI/CD pipeline integrating GitLab with AWS CodePipeline and CodeBuild, following a strict Plan - Approval - Apply GitOps workflow.
  • Engineered a secure remote Terraform state backend using S3, DynamoDB locking, and KMS encryption, ensuring 100% state integrity during concurrent executions.
  • Implemented resilient networking using IPAM for automated IP allocation and centralized traffic inspection with AWS Network Firewall and Transit Gateway.
  • Provisioned hardened EKS clusters with Graviton node groups, achieving 20% compute cost savings and improved network performance via VPC CNI.
  • Conducted AWS Well-Architected Reviews to optimize security, performance, and cost efficiency for clients.
  • Communicated complex cloud concepts to clients and recommended tailored AWS best practices and solutions.
  • Maintained comprehensive technical documentation for cloud infrastructure and processes.
  • Led the migration of 10+ critical applications to AWS using Application Migration Service (MGN), completing the project 2 weeks ahead of schedule.
  • Executed complex storage migrations from Azure virtual machines to AWS S3 using AWS Transfer Family, validating data integrity through CLI automation.
  • Designed and deployed Zero Trust network models using Bastion Hosts, AWS Client VPN, and segmented Transit Gateway routes.
  • Migrated standalone AWS accounts into a governed Landing Zone architecture, ensuring compliance with CIS benchmarks.
  • Integrated centralized logging for VPC, ALB and TGW with Splunk integration through SNS, SQS, and S3 event notifications.
  • Configured AWS Client VPN for secure private access and ALBs with listener rules for multi-application deployments.
  • Built a secure software supply chain by enforcing container image signing with Cosign and AWS Signer, preventing deployment of unverified images.
  • Automated creation of hardened golden images for AWS and GCP using HCP Packer and Jenkins, with OpenSCAP integrated for continuous compliance scanning.
  • Optimized Docker build pipelines using Slimkit, reducing container image sizes by 60% and accelerating build times by 30%.
  • Developed automated remediation workflows using Lambda and Step Functions to auto-patch vulnerabilities detected by Amazon Inspector.
  • Centralized logs from VPC, ALB, and EKS into a dedicated log archive account and forwarded metrics to Splunk via SNS and SQS for real-time threat analysis.
  • Enforced container image integrity using Cosign and AWS Signer before pushing to AWS ECR.
  • Spearheaded R&D initiatives to evaluate and adopt emerging cloud technologies, directly leading to the implementation of Grafana & Prometheus which improved resource efficiency by 15%.
  • Mentored 3+ junior engineers on AWS architecture and IaC best practices, reducing new hire onboarding time by 30% and decreasing code review cycles.
  • Authored comprehensive technical documentation and runbooks, establishing a centralized knowledge base that reduced Mean Time to Resolution (MTTR) for recurring incidents by 20%.
  • Automated routine infrastructure tasks (such as log rotation and resource cleanup) using Python and Bash, saving the team approximately 10+ man-hours per week.

Education

B.Tech in Computer Science & Engineering – Parul University (2019-06 – 2023-03)

Skills

Cloud & Devops Engineer

Reviews

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