Senior Data Engineer (Remote)
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Job description
Our client is seeking a Senior Data Engineer who will be responsible for the support the design, deployment, and stabilization of client’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., * 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.
Requirements
Do you have experience in Zero Trust security?, Do you have a Bachelor’s degree?, * 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.
- Resume highlighting Kubernetes, multi-cloud, and API platform experience -Short summary aligning to role requirements.
- Pro Desk API
Preferred Requirements:
- Healthcare / regulated environment experience.
- Cloud or Kubernetes certifications.
- Apigee Hybrid or Akamai (Noname) experience.
- GitOps tools (ArgoCD, Flux), * Bachelor’s degree in Computer Science, Information Technology or related field; OR equivalent 5+ years of experience. 5+ years of hands-on experience programming in SQL. 3+ years of experience building and maintaining automated data pipelines and data assets using batch and/or streaming processes.
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