APIGEE Platform Engineering Specialist

2 weeks ago

Amrāvati, Maharashtra, India beBeePlatformEngineer Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Title: APIGEE Platform Engineer

This is an exciting opportunity to join our team as a skilled APIGEE Platform Engineer.

The successful candidate will be responsible for designing, deploying, and managing APIGEE Hybrid runtime environments on Kubernetes clusters.

Key Responsibilities:
  • Design, deploy, and manage APIGEE Hybrid runtime environments on GKE, AKS, or on-prem Kubernetes clusters.
  • 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.
Required Skills & Experience:
  • 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.
  • Knowledge of Kubernetes networking, ingress controllers, and service mesh is a plus.
  • Extensive experience with Terraform for provisioning cloud and Kubernetes resources.
  • Experience using the Terraform Helm provider to deploy applications on Kubernetes.
  • Strong skills in Bash/Shell scripting and Python for automation and operational tasks.
  • Experience developing automation pipelines for deployment and monitoring.
  • Solid understanding of Google Cloud Platform services (Compute Engine, GKE, Cloud Storage, IAM).
  • Experience with multi-cloud or hybrid cloud environments is a plus.
  • Familiarity with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI, Cloud Build).
  • Experience integrating APIGEE deployments into automated pipelines.
  • Understanding of network security, firewall rules, VPNs, and cloud security best practices.
  • Knowledge of API security standards and compliance requirements.

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