Key Responsibilities:
Implement UIL using Cloud Run and GKE hybrid deployment models for scalable, event-driven integration.
Implement event-driven workflows leveraging Pub/Sub, Cloud Functions, and containerized microservices.
Establish and enforce API standards, error-handling conventions, and integration patterns across distributed systems.
Implement and maintain observability pipelines with Cloud Logging, BigQuery, and Cloud Monitoring for auditability and performance analytics.
Build and optimize DR and cost-efficient architectures across multiple regions using Terraform and Cloud Deploy.
Continuously evaluate and improve system reliability, scalability, and performance.
Required Skills & Experience:
7 10+ years in backend/integration development or cloud engineering.
Deep expertise in Google Cloud Platform, especially:
o Cloud Run, GKE, Pub/Sub, BigQuery, Cloud Logging, Cloud Storage, IAM, Secret Manager, Cloud Build/Deploy.
Strong background in distributed systems, API design, and message-driven architectures.
Proficiency in Python, Node.js, or Java.
Familiarity with warehouse and ERP integration patterns (e.g., order orchestration, ASN, inventory sync).
...Details Key Responsibilities: Implement UIL using Cloud Run and GKE hybrid deployment models for scalable,... ...10+ years in backend/integration development or cloud engineering. Deep expertise in Google Cloud Platform, especially: o Cloud Run, GKE, Pub/Sub...
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