Java Software Engineer - Spring Boot/Python

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).