Data Engineer (APIGEE, GCP & Kubernetes)

Sr. Data Engineer (APIGEE, GCP & Kubernetes)
Mandatory skills: APIGEE, GCP & Kubernetes

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)