Sr. Cloud Engineer I
| Company | MetroStar |
|---|---|
| Location | Washington, DC, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Mid Level, Senior |
Requirements
- An active Secret DoD clearance
- 4-6 years of experience in cloud engineering, DevOps, or infrastructure automation.
- Hands-on experience with at least one cloud provider (AWS, Azure, OCI or GCP).
- Strong proficiency in IaC tools such as Terraform, CloudFormation, or equivalent.
- Experience with automation tools (Ansible, Chef, Puppet) and scripting languages (Python, Bash, PowerShell).
- Experience with cloud-native big data tools such as AWS EMR, Azure Synapse, Google BigQuery, or OCI Big Data Service.
- Expertise in data pipeline orchestration tools such as Apache Airflow, AWS Glue, or Azure Data Factory.
- Knowledge of cloud networking, IAM, and security best practices.
- Excellent troubleshooting and performance optimization skills.
Responsibilities
- Design, deploy, and manage cloud infrastructure solutions with a focus on big data storage and processing.
- Implement scalable and automated infrastructure using Terraform, CloudFormation, or ARM templates.
- Configure and optimize cloud storage solutions (Amazon S3, Azure Data Lake, Google Cloud Storage, OCI Object Storage) for efficient big data management.
- Automate cloud configurations and deployments using Ansible, Chef, or Puppet.
- Optimize big data workloads for performance, cost efficiency, and security compliance.
- Monitor and troubleshoot data infrastructure, network performance, and cloud security concerns.
- Implement CI/CD pipelines to streamline data infrastructure updates and deployments.
- Maintain up-to-date documentation of cloud configurations, data processing workflows, and best practices.
Preferred Qualifications
-
No preferred qualifications provided.