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Cloud Engineer

Summary

Designs, builds, and maintains secure Google Cloud Platform environments for mission systems, AI solutions, and analytics workloads using infrastructure-as-code and shared platform services.

See below for important information regarding this job. Position will be filled at any of the locations listed below. Site specific salary information as follows: Battle Creek, MI: $124,531- $161,889 Columbus, OH: $129,946- $168,929 Dayton, OH: $129,169 - $167,919 Fort Belvoir, VA: $142,488- $ 187,093 New Cumberland, PA: $142,488- $ 187,093 Ogden, UT: $124,531- $161,889 Philadelphia, PA: $137,222- $178,388 Richmond, VA: $130,084- $169,108

Designs, engineers, configures, tests, deploys, and sustains enterprise cloud platform environments in Google Cloud Platform (GCP) that support mission systems, data platforms...

..., artificial intelligence solutions, analytics workloads, APIs, and business applications

Performs the technical work required to create and maintain foundational cloud environments used by multiple teams and organizational components, including organization hierarchy design...

..., folder and project structures, shared platform services, baseline configurations, and approved deployment patterns.

Builds and maintains GCP landing zones and shared platform services used to support secure onboarding of workloads into cloud environments.

Builds and maintains reusable platform templates, infrastructure modules, deployment standards, and baseline configurations used across multiple efforts.

Produces and maintains engineering artifacts required to support enterprise cloud platform operation, including architecture diagrams, reference architectures, platform blueprints, environment configurations...

... infrastructure-as-code modules, deployment instructions, interface descriptions, configuration baselines, dependency records, operational standards, and sustainment documentation.

Performs validation and testing of platform builds and environment changes to ensure they function correctly and support intended workloads.

See also

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