Platform Engineer

What Impact You'll Have

GRVTY provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations.

As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the infrastructure that supports the organization's applications and services. Your role will involve working with Kubernetes, DevSecOps practices, Terraform, Ansible, Puppet, RedHat Linux, Helm, container management, CI/CD pipelines, and AWS IAM. You will play a crucial part in ensuring the reliability, scalability, and security of the platform, as well as optimizing performance and cost-efficiency.

What You'll be Owning

GRVTY is seeking a Platform Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA.

What You Must Have

• Active TS/SCI with Polygraph Clearance (applicable to this customer)
• A Bachelor's degree in a technical field, or equivalent relevant experience
• Experience with Ansible and Puppet for configuration management
• Experience with RedHat Linux for OS administration
• Experience with Helm for managing Kubernetes applications
• Experience with AWS IAM for identity and access management
• Willingness and ability to effectively collaborate with cross-functional teams, troubleshoot complex issues, and drive continuous improvement initiatives within the platform infrastructure

What Would be Nice to Have

• Relevant certifications in Kubernetes, DevSecOps, or AWS
• Familiarity with Kubernetes for container orchestration
• Familiarity with DevSecOps practices for integrating security into the development process
• Familiarity with Terraform for infrastructure as code
• Experience working with large-scale cloud environments

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