Cyma Systems
Sapthagiri Colony, Hyderabad

1 Cyma Systems Jobs and Careers

  • 5 yrs
  • 25.0 Lac/Yr
  • Hyderabad
Java Spring Boot Python Microservices REST GraphQL GCP GKE Kubernetes Kafka Postgres CICD GitHub Actions Argo CD MLOps Vertex AI Kubeflow NLP GenAI
Java Developer - Offshore - remote it would be a plus if candidate is really strong in building MCP 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 toolsRequired 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)(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 automationEducation Bachelors degree or equivalent experience (High School Diploma and 4 years relevant experience)
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