Senior Apigee Engineer

Avance Consulting • United State
Remote
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AI Summary

Design and implement Apigee Hybrid runtime plane on Azure Kubernetes Service (AKS) and on-premises Kubernetes clusters. Lead automation of platform deployments and upgrades using Terraform, Python, and Helm. Maintain high-availability connectivity between remote runtimes and Google-managed control plane.

Key Highlights
Multi-Cloud Runtime Management
Infrastructure as Code (IaC)
Connectivity & Networking
Key Responsibilities
Design and implement the Apigee Hybrid runtime plane on Azure Kubernetes Service (AKS) and eventually on-premises Kubernetes clusters.
Lead the automation of platform deployments and upgrades using Terraform, Python, and Helm to ensure consistency between cloud and on-prem environments.
Maintain high-availability connectivity between the remote runtimes and the Google-managed control plane via VPN or Interconnect.
Implement and enforce enterprise-grade security including mTLS, OAuth2, and data obfuscation for analytics.
Set up unified monitoring and alerting using Google Cloud Observability (formerly Stackdriver) and local tools like Grafana.
Perform periodic capacity planning and infrastructure expansion for hybrid clusters to meet transaction-per-second targets.
Technical Skills Required
Apigee X Apigee Hybrid Cassandra Kubernetes (AKS/GKE) Terraform Python Helm
Benefits & Perks
100% Remote
Full-time - Permanent Role

Job Description


Role: Sr APIGEE Engineer

Location: 100% Remote

Duration: (Full Time - Permanent Role)


Responsibilities

Multi-Cloud Runtime Management: Design and implement the Apigee Hybrid runtime plane on Azure Kubernetes Service (AKS) and eventually on-premises Kubernetes clusters.

Infrastructure as Code (IaC): Lead the automation of platform deployments and upgrades using Terraform, Python, and Helm to ensure consistency between cloud and on-prem environments.

Connectivity & Networking: Maintain high-availability connectivity between the remote runtimes and the Google-managed control plane via VPN or Interconnect.

Security & Compliance: Implement and enforce enterprise-grade security including mTLS, OAuth2, and data obfuscation for analytics.

Platform Observability: Set up unified monitoring and alerting using Google Cloud Observability (formerly Stackdriver) and local tools like Grafana.

Capacity Planning: Perform periodic capacity planning and infrastructure expansion for hybrid clusters to meet transaction-per-second targets.


Required Skills & Qualifications

Technical Expertise: 8+ years in software development with deep experience in large-scale distributed systems and API management.

Platform Knowledge: Proficiency in both Apigee X and Apigee Hybrid architectures, including experience with Cassandra for stateful runtime data.

Cloud & Containers: Mastery of Kubernetes (AKS/GKE) and multi-cloud networking across Azure and Google Cloud.

CI/CD: Experience building automation-first delivery platforms using Azure DevOps or GitHub Actions.

Soft Skills: Ability to mentor senior engineers and influence technical direction at the organizational level.


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