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Data Engineer (APIGEE, GCP & Kubernetes)
Omni Inclusive
- United States
- United States
Über
Submission Requirements:
Resume highlighting Kubernetes, multi-cloud, and API platform experience - Short summary in the resume top aligning to role requirements.
Job Description:
The contractor will support the design, deployment, and stabilization of Mayo Clinic's enterprise Apigee Hybrid API platform across multi-cloud (GCP, Azure/AKS) and on-prem environments, aligned with a parallel Akamai edge routing and security implementation. Responsibilities include provisioning and managing Kubernetes infrastructure, deploying Apigee Hybrid runtimes and Akamai components, configuring multi-cloud networking, and developing Terraform-based infrastructure as code. The role will also support CI/CD integration, observability and SIEM connectivity, and production readiness activities while collaborating with internal teams and external partners. This individual will operate in a milestone-driven environment, ensuring infrastructure readiness, supporting go-live timelines, and providing documentation and knowledge transfer for long-term operational ownership.
Required Skills: -3+ years Kubernetes (AKS required; GKE/on-prem preferred) -Strong multi-cloud (Azure & GCP) experience -Terraform / IaC and CI/CD pipeline experience -Familiarity with Apigee Hybrid architecture -Understanding of edge platforms (Akamai preferred) -Experience with observability, SIEM, and Zero-Trust security
Key Competencies: -Self-driven problem solver -Able to work in milestone-driven, dependency-heavy environment -Strong collaboration and documentation skills -Experience supporting cross-cloud and on-prem infrastructure
Nice to Have: -Healthcare / regulated environment experience -Cloud or Kubernetes certifications -Apigee Hybrid or Akamai (Noname) experience -GitOps tools (ArgoCD, Flux)
Sprachkenntnisse
- English
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