Why This Role Stands Out
This role offers a fantastic opportunity to work on cutting-edge AI integrations with a leading financial institution, providing significant career growth and skill development in a cloud-native environment. You'll thrive here if you're a seasoned Java Full Stack Developer with strong front-end and back-end expertise, eager to contribute to impactful, production-grade solutions. Apply now to leverage your 8+ years of experience and explore a long-term engagement with potential for full-time conversion.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
New York, NY, United States
Posted
16 hours ago
DockerMicroservicesSpinnakerSpringSpring BootAWSSplunkJavaJavaScriptJenkinsKubernetesLLMPythonRESTReactTypeScript
Job Description
We have an immediate requirement for Java Full Stack Developers to support a JPMC strategic engagement across New York, Plano, TX, and Columbus, OH.
Key Requirements:
- Experience: 8+ years of hands-on Java Full Stack development experience
- Strong technical expertise across Java, Spring Boot, Microservices, REST APIs, and modern front-end technologies
- Candidates must be thoroughly vetted and technically screened before submission
- Strong communication skills and ability to work in a client-facing environment
Additional Information:
- This is a long-term opportunity with potential for full-time conversion by the client after 9–12 months, based on performance and business needs.
FYI, this is day-1 onsite role
Job Description -
- Deliver production-grade solutions by integrating agentic AI, LLMs/SLMs, MCP, RAG, agent orchestration frameworks, and automation to elevate how clients experience our products.
- Build end-to-end capabilities across a cloud-native stack— React + TypeScript/JavaScript on the front end and Java/Spring Boot microservices on the back end.
- Establish strong engineering practice through CI/CD pipelines (e.g., Jenkins, Spinnaker), automated testing and load testing (e.g., Blazemeter), and production observability/monitoring (e.g., Splunk, Dynatrace).
- Design, deploy, and operate scalable, event-driven micros-services on AWS using Docker, Kubernetes, serverless compute, and messaging patterns.
- Partner with product, design, data, architecture, and risk/control stakeholders to deliver secure, stable, and scalable AI solutions that solve real business problems
- Nice to have: Python experience for LLM engineering and data processing (e.g., building small services, automation, and evaluation harnesses).
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