
API Platform Engineer
1 week ago
Key Responsibilities:
- Design, deploy, and manage the 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.
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.
- Kubernetes & Containerization:
- 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.
- Infrastructure as Code (IaC):
- Extensive experience with Terraform for provisioning cloud and Kubernetes resources.
- Experience using the Terraform Helm provider to deploy applications on Kubernetes.
- Scripting & Automation:
- Strong skills in Bash/Shell scripting and Python for automation and operational tasks.
- Experience developing automation pipelines for deployment and monitoring.
- Cloud Platform Experience:
- Solid understanding of Google Cloud Platform services (Compute Engine, GKE, Cloud Storage, IAM).
- Experience with multi-cloud or hybrid cloud environments is a plus.
- DevOps & CI/CD:
- Familiarity with CI/CD tools and pipelines (e.g., Jenkins, GitLab CI, Cloud Build).
- Experience integrating APIGEE deployments into automated pipelines.
- Networking & Security:
- Understanding of network security, firewall rules, VPNs, and cloud security best practices.
- Knowledge of API security standards and compliance requirements.
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