Developer

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