{"schemaVersion":"jobsearcher.job.v1","id":"f266ca84de5d5937b7d8993c","url":"https://jobsearcher.com/jobs/f266ca84de5d5937b7d8993c","canonicalUrl":"https://jobsearcher.com/jobs/f266ca84de5d5937b7d8993c","title":"AWS DevOps Engineer","description":"Job Title : AWS DevOps Engineer Location : Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX, Tempe, AZ Job type : FulltimeNote : Mega hiring drive planned for next week b/w AUG 13th to Aug 15th in-person interview eventRequired Skill and Experience⦁ Experience in DevOps, cloud infrastructure, or platform engineering roles⦁ Hands-on experience with AWS cloud services including EC2, S3, Lambda, VPC, IAM, ECS, EKS, RDS, and CloudWatch⦁ Hands-on experience designing and managing CI/CD pipelines using Jenkins and GitLab for enterprise-scale application and data platform deployments⦁ Hands-on experience with containerization using Docker and container orchestration using AWS ECS and EKS⦁ Must have strong hands-on experience with Infrastructure as Code (IaC) using Terraform or CloudFormation for automated AWS infrastructure provisioningPreferred Skill and Experience⦁ Experience in architecting and managing enterprise-grade CI/CD pipelines using Jenkins and GitLab for multi-environment deployments including dev, staging, and production across data and application platforms⦁ Experience with AWS infrastructure automation using Terraform or CloudFormation with strong understanding of AWS Well-Architected Framework and cloud cost optimization⦁ Experience with Docker containerization including image building, container registry management, and optimizing containerized workloads for data platforms on AWS ECS and EKS⦁ Experience with Git-based source control workflows including branching strategies, merge request reviews, and repository management using GitHub, GitLab, or Bitbucket in enterprise environments⦁ Experience in building and maintaining CI/CD pipelines and infrastructure automation specifically for data platforms including data ingestion, transformation, and analytics workloads on AWS⦁ Experience with AWS EKS and ECS cluster management including task definitions, service scaling, Helm charts, Kubernetes RBAC, and node group management for containerized workloads⦁ Experience with AWS data and analytics services such as Glue, EMR, Redshift, Athena, Kinesis, and Lake Formation integrated within DevOps automation pipelines preferred⦁ Experience in implementing GitOps workflows using ArgoCD or Flux integrated with GitLab and Terraform for automated infrastructure and application deployments on AWS⦁ Experience with AWS security and compliance including IAM policies, SCPs, AWS Config, Security Hub, GuardDuty, and secrets management using AWS Secrets Manager or HashiCorp Vault⦁ Experience in monitoring and observability using CloudWatch, Prometheus, Grafana, or Datadog for proactive alerting, incident management, and pipeline health tracking⦁ Experience with Jira and Confluence for Agile project tracking, sprint 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