> Markdown version of [/jobs/ext/2026661-java-technical-lead](https://www.wearedevelopers.com/jobs/ext/2026661-java-technical-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Java Technical Lead

- **Company:** Connexions Data
- **Location:** Carolina Beach, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Continuous Integration, Information Engineering, Software Debugging, Event-Driven Programming, Python (Programming Language), Performance Tuning, Search Technologies, Delivery Pipeline, Large Language Models, Concurrency, Caching, Backend, Rate Limiting, Fastapi, Kubernetes, Front End Software Development, Software Version Control, Microservices
- **Published:** August 11, 2026
- **Apply:** https://www.dice.com/job-detail/19cc16d2-95ee-48e9-aced-dd6b321bd7dd

## About the Role

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., Cloud exposure preferred (Azure/AKS, managed services), with bonus experience in performance tuning, frontend collaboration, and model governance/monitoring.

## Description

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.


## Related Videos

- [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js)
- [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi)
- [Java Meets AI: Empowering Spring Developers to Build Intelligent Apps](https://www.wearedevelopers.com/videos/1554-java-meets-ai-empowering-spring-developers-to-build-intelligent-apps)
- [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)