Java Software Engineer

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

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

Education

Bachelor’s degree or equivalent experience (High School Diploma and 4 years relevant experience)