Job description

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 architectures • 2+ years’ experience integrating or consuming ML/AI models in production environments (e.g. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints) • Experience working with structured and unstructured data (e.g. Rx Claim metadata, clinical documents, NLP processing). • Familiarity with ML model lifecycle - from data ingestion, training, deployment, to real-time inference (MLOPS) • 2+ years hands-on experience with GCP, AWS, or Azure • 2+ years working with pub/sub tools like Kafka or similar • 2+ years’ experience with databases (Postgres or similar) • 2+ years’ experience with CI/CD tools (GitHub Actions, Jenkins, Argo CD, or similar) Preferred Qualifications • Hands-on experience with Google Cloud Platform • Familiarity with Kubernetes concepts; experience deploying services on GKE is a plus • Strong understanding of microservice best practices and distributed systems • Familiarity with Vertex AI, Kubeflow or similar AI platforms on GCP for model training and serving • Understanding of GenAI use cases, LLM prompt engineering and agentic orchestration (e.g. LangChain, transformers) • Experience deploying Python-based ML Services into Java microservice ecosystems (via REST, gRPC or sidecar patterns) • Knowledge of claim adjudication, Rx domain logic or healthcare specific workflow automation

Requirements