Summary
Join an enterprise DevOps team as an AWS Cloud Engineer. You will design and manage cloud infrastructure, build CI/CD pipelines, deploy containerized applications, administer Kubernetes environments, and automate infrastructure provisioning with infrastructure-as-code tools across large-scale application and data platforms.
Highlights
Work on enterprise-scale cloud infrastructure and deployment platforms using a broad AWS technology stack. Gain hands-on exposure to CI/CD, containers, Kubernetes, and infrastructure as code while working on large application and data platform environments.
Description
Job Title : AWS DevOps Engineer
Location : Plano, TX, Raleigh, NC, Reston, VA, Richardson, TX, Tempe, AZ
Job type : Fulltime
Note : Mega hiring drive planned for next week b/w AUG 13th to Aug 15th in-person interview event
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
