- 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
📌 Developer (Bengaluru)
🏢 Tekskills
📍 Bengaluru
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