drjobs Java Backend

Java Backend

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1 Vacancy
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Job Location drjobs

Mexico City - Mexico

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Java Backend

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


About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills expertise and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy childbirth or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Employment Type

Full Time

Company Industry

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