Google Cloud Platform Cloud Run + Terraform + API modernization/deployment with .NET. : Local for F2F Interview

Dallas, TX, US • Posted 1 day ago • Updated 1 day ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • GCP Cloud Run
  • Terraform
  • API modernization/deployment with .NET
  • Cloud Foundry PaaS.

Summary

Position     : Google Cloud Platform Cloud Run + Terraform + API modernization/deployment with .NET. : Only USA
Location     : Dallas or Austin Texas (Onsite & Local for F2F interview)
Type of Job     : Contract : 12 Months
Experience     : 10+ Years 

Job description
We need Google Cloud Platform engineers with strong Terraform experience to migrate approximately 230 containerized .NET APIs from on-prem Cloud Foundry to Cloud Run

The strongest candidate would have Google Cloud Platform + Terraform + application modernization/deployment experience, ideally with .NET.

I would position the requirement as roughly 60–70% Google Cloud Platform/Terraform/cloud engineering + 20–30% application/.NET modernization + deployment, rather than an SRE/operations position.

The primary need is for Google Cloud Platform cloud/application engineers with strong Terraform skills, rather than traditional production-support/SRE engineers.

Current state: containerized APIs running on an on-prem Cloud Foundry PaaS.

Target platform: Primarily Google Cloud Run, rather than GKE.

Cloud Run configuration: Services will maintain minimum always-on instances rather than scaling completely to zero.

Infrastructure as Code: Engineers must use Schwab-provided Terraform modules created by the Cloud Architecture/Cloud Services teams. This is not free-form 

Terraform development; engineers will compose approved modules to implement the required architecture.

Application work: Some APIs may require .NET changes/refactoring to make them suitable for the Google Cloud Platform/Cloud Run environment.

Deployment: Engineers will help configure infrastructure and deploy/migrate applications into Google Cloud Platform.

Longer-term direction: Cloud Run is the initial target because its managed/PaaS operating model is closer to Cloud Foundry. GKE Autopilot may be considered later once approved at Schwab.
Approved compute options today: GCE, GKE and Cloud Run

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119616
  • Position Id: 9106028
  • Posted 1 day ago
Contact the job poster
PS

Parasnath Singh

Recruiter @ K Anand Corporation
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