Job Description

Responsibilities-
Develop and maintain backend microservices using Python, Java and Spring Boot-
Build and integrate APIs (both GraphQL and REST) for scalable service communication-
Deploy and manage services on Google Cloud Platform (GKE)-
Work with Google Cloud Spanner (Postgres dialect) and pub/sub tools like Confluent Kafka (or similar)-
Automate CI/CD pipelines using GitHub Actions and Argo CD-
Design and implement AI-driven microservices-
Collaborate with Data Scientists and MLOps teams to integrate ML Models-
Implement NLP pipelines -
Enable continuous learning and model retraining workflows using Vertex AI or Kubeflow on GCP-
Enable observability and reliability of AI decisions by logging model predictions, confidence scores and fallbacks into data lakes or monitoring tools

Required Qualifications-
5+ years of backend development experience with Java and Spring Boot-
2+ years working with APIs (GraphQL and REST) in microservices archi...

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