Talent.com
This job offer is not available in your country.
Java Software Engineer - Spring Boot / Python

Java Software Engineer - Spring Boot / Python

Intraedge Technologies Ltd.India
30+ days ago
Job description

Java Software Engineer with AI / ML Experience

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 :

  • 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. RESTful ML APIs, TensorFlow Serving or Vertex AI Endpoints).
  • Experience working with structured and unstructured data (e. 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. 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.

    • Education :

  • Bachelors degree or equivalent experience (High School Diploma and 4 years relevant experience).

    • (ref : hirist.tech)

    Create a job alert for this search

    Software Engineer Java • India