APIGEE Platform Specialist

7 days ago

Surat, Gujarat, India beBeeAPIggee Full time ₹ 15,00,000 - ₹ 25,00,000
Job Overview

We are seeking a skilled APIGEE Platform Engineer to join our team. This role involves designing, deploying, and managing APIGEE Hybrid runtime planes on Kubernetes clusters.

Key Responsibilities
  • Design, deploy, and manage APIGEE Hybrid runtime plane on Kubernetes clusters (GKE, AKS, or on-prem Kubernetes).
  • Perform installation, upgrades, patching, and maintenance of APIGEE Hybrid and APIGEE X environments.
  • Manage APIGEE runtime components including Message Processors, Synchronizers, and Cassandra clusters within Kubernetes.
  • Automate infrastructure provisioning and application deployment using Terraform and Helm charts.
  • Develop and maintain automation scripts using Bash/Shell and Python to streamline deployment, monitoring, and operational tasks.
  • Collaborate with API teams to support API proxy deployments, troubleshoot runtime issues, and optimize platform performance.
  • Implement and maintain CI/CD pipelines for APIGEE platform deployments and API lifecycle management.
  • Monitor platform health, capacity planning, and perform troubleshooting for runtime and infrastructure issues.
  • Work closely with network, security, and cloud teams to configure secure and compliant environments.
  • Support multi-cloud and hybrid cloud deployment strategies, ensuring seamless integration and governance.
  • Document platform architecture, operational procedures, and automation workflows.
Requirements
  • Strong experience with APIGEE Hybrid platform deployment and runtime management.
  • Familiarity with APIGEE X and API management concepts (OAuth, JWT, API keys, SSL/TLS).
  • Experience with API proxy development, debugging, and policy implementation.
  • Hands-on experience managing Kubernetes clusters (GKE, AKS, or on-prem).
  • Proficient in deploying and managing containerized applications using Helm charts.
  • Extensive experience with Terraform for provisioning cloud and Kubernetes resources.
  • Strong skills in Bash/Shell scripting and Python for automation and operational tasks.
  • Solid understanding of Google Cloud Platform services (Compute Engine, GKE, Cloud Storage, IAM).

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