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# Java Technical Lead

- **Company:** Siri InfoSolutions Inc
- **Location:** Greenville, SC, United States
- **Experience:** Expert
- **Salary:** $110,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Software Debugging, Event-Driven Programming, Java Persistence API, Python (Programming Language), Performance Tuning, Search Technologies, Large Language Models, Concurrency, Spring-boot, Caching, Backend, Rate Limiting, Fastapi, Kubernetes, Front End Software Development, Restful APIs, Software Version Control, Microservices
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us26b2533dd80993f379bc6a02102d4663

## About the Role

JAVA API Developer || Cary, NC - Onsite || Fulltime || 8 - 10 years of experience Skill Area Expected Capability Backend Java, Spring Boot, REST APIs, Microservices, JPA/Hiber…

 + 1 day ago

## Description

Must Have Technical/Functional Skills

 * 13+ years of experience with IT
 * Build and productionize cloud native backend services and AI/LLM inference pipelines.
 * Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.
 * Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.
 * Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.
 * Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.
 * Establish observability, SLOs, CI/CD automation, testing
 * Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.
 * Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.

Roles & Responsibilities

 * Build and productionize cloud native backend services and AI/LLM inference pipelines.

 * Design and develop Python-based APIs and microservices (FastAPI, async patterns) and agentic AI workflows using LangChain/LangGraph.
 * Implement and optimize LLM capabilities including embeddings, RAG, vector search, prompt/context engineering, and model versioning.
 * Package, serve, and monitor models for real-time and batch inference, ensuring operational readiness and performance.
 * Build event driven, resilient integrations and containerized services, with hands-on Kubernetes debugging and Helm-based deployments.
 * Establish observability, SLOs, CI/CD automation, testing
 * Apply strong systems design principles (concurrency, caching, reliability, rate limiting) and robust data engineering practices.
 * Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.


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