Java Software Engineer
IntraEdgemumbai, India16 days ago
Job description5+ 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) 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
Java Software Engineer
Location : Remote
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
Preferred Qualifications
Education
Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)
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Software Engineer Java • mumbai, India
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