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CoderioPosted 3 weeks ago

Sr Java Backend (Miami Lakes)

On-siteMiami, Florida, United States

ContractSenior LevelMedium

Job Summary

Design, build, test, and deploy Spring Boot microservices while owning the codebase from design to production. Implement publish/subscribe async messaging and handle distributed transactions using saga or orchestration patterns. Design REST APIs, webhooks, and subscription APIs, and maintain CI/CD pipelines and infrastructure-as-code on AWS. Diagnose and resolve issues across distributed services using observability tools like New Relic or Datadog. Integrate LLMs into services with function/tool calling and structured outputs, ensuring AI safety and governance in a regulated setting. Must be located in the Miami/Fort Lauderdale area for 100% on-site work as part of a contract engagement. Requires 8+ years of backend experience with Java and microservices.

Required Qualifications

  • Senior level with 8+ years of experience building backend services in Java
  • at least 2+ years specifically in microservices and event-driven systems
  • Deep, hands-on mastery of Java (17+ preferred)
  • strong OOP and concurrency fundamentals
  • production experience in Spring Boot and Spring Cloud
  • Solid, demonstrable production experience with AWS services including DynamoDB, Kinesis, SQS, SNS, KMS, API Gateway, ECS/EKS, Lambda, IAM, and RDS
  • Fluency with AI-assisted development (like Claude Code or Copilot) with the critical judgment to review AI-generated code
  • Solid testing discipline utilizing JUnit, Mockito, and integration testing
  • Must be located in the Miami / Fort Lauderdale area
  • available to work 100% on-site for a contract engagement

Desired Qualifications

  • Financial services or payments domain experience, specifically with payments messaging standards like ISO 20022 and the legacy FAIM (Fedwire) format
  • Experience with containers and orchestration (Docker, Kubernetes)
  • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or CDK)
  • Experience with workflow and orchestration engines such as Temporal, Camunda, or AWS Step Functions
  • Advanced AI skills: vector stores/RAG, prompt engineering, and AI observability

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