AWS Cloud Engineer (W2 Position)

We have a job opportunity of a Role AWS Cloud Engineer with given job description on W2. Please forward updated profile to or 1.

Role : AWS Cloud Engineer (W2 Position)

Location : Dearborn MI (Hybrid)

Duration: 12 Months

Experience: 8 Years

JD:

Skills Required:
1. AWS We expect the candidate to be able to define deploy and manage a complete application infrastructure in AWS using Terraform. This includes writing modular Terraform configurations to provision VPCs subnets route tables security groups and NACLs for robust networking. They should demonstrate proficiency in managing IAM roles policies and users for least-privilege access configuring S3 buckets for various storage needs (e.g. static content hosting logging with lifecycle policies) deploying and managing RDS instances (e.g. PostgreSQL MySQL) with appropriate backups and replication strategies and setting up Application Load Balancers (ALBs) or Network Load Balancers (NLBs) with target groups and health checks for high availability. Furthermore they should understand and implement Terraform state management best practices including remote state storage and locking and be able to manage the full lifecycle of these resources from creation to updates and eventual destruction

2. Kubernetes The ideal candidate will have hands-on experience provisioning Kubernetes clusters (e.g. EKS GKE AKS or self-managed Kubeadm clusters) from scratch including configuring networking storage and node pools. They should be adept at administering and troubleshooting clusters which involves debugging pod failures managing deployments services ingresses and persistent volumes. We expect a strong understanding of core Kubernetes concepts like StatefulSets DaemonSets ConfigMaps and Secrets. Furthermore they should be familiar with common Kubernetes add-ons such as Prometheus for monitoring Grafana for visualization Fluentd/Fluent Bit for logging and external-dns for DNS management. Experience with in-place cluster upgrades including handling version compatibility and rollback strategies is also crucial.

Skills Preferred:

1. GCP While not strictly required we would prefer candidates who can demonstrate experience provisioning and managing GCP resources programmatically. This includes using tools like Terraform Google Cloud Deployment Manager or gcloud CLI scripting to deploy resources such as Compute Engine instances Cloud SQL databases Cloud Storage buckets VPC networks and IAM policies within a GCP project. Familiarity with managing GCP projects billing and resource hierarchies through automation would be a significant advantage.

• Python - Writes production-grade automation for cloud operations: CLIs and functions that interact with AWS/GCP SDKs handle pagination/retries/backoff and include tests and logging.
• Builds small tools/services: e.g. cost/reporting jobs security/compliance checks drift detectors secret rotation workflows or data movers.
• Packages code with virtual environments/poetry/pip-tools structures modules cleanly and integrates with CI/CD; comfortable with async/concurrency when needed.
  

Experience Required:

Engineer 3 Exp: 2 coding lang. or adv. 1 lang. 6 years in IT; 4 years in development

Thanks & Regards

Praveen

Megan Soft Inc.

Direct No: 1

E Mail: