Data Engineer; APIGEE, GCP & Kubernetes

Sr. Data Engineer (APIGEE, GCP & Kubernetes)

Mandatory skills: APIGEE, GCP & Kubernetes

Resume highlighting Kubernetes, multi-cloud, and API platform experience - Short summary in the resume top aligning to role requirements.

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.

• 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

• 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

• Healthcare / regulated environment experience
• Cloud or Kubernetes certifications
• Apigee Hybrid or Akamai (Noname) experience
• Git Ops tools (ArgoCD, Flux)