Summary
✨ AI‑Generated
Join an enterprise technology team as an AWS DevOps Engineer, designing and managing cloud infrastructure, CI/CD pipelines, containers, and automated provisioning. You’ll work extensively with AWS services, Jenkins, GitLab, Docker, and Infrastructure as Code while supporting multi-environment deployments and large-scale application and data platforms.
Highlights
Permanent DevOps opportunity focused on enterprise AWS infrastructure, automation, containerization, and CI/CD. The role provides broad hands-on experience across major AWS services and infrastructure-as-code practices supporting large-scale application and data platforms.
Description
Position:- AWS DevOps Engineer
Location:-Plano, Texas | Reston, Virginia| Tempe, Arizona| Raleigh, North Carolina| Richardson, Texas
Job Type:- Permanent
Required 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 provisioning
Preferred 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 management, and DevOps workflow documentation in a Scrum delivery environment preferred
⦁ Experience with compliance and governance frameworks such as SOC2 or ISO 27001 enforced through Terraform policies and Jenkins/GitLab pipeline controls preferred
