Java Full Stack Technical Lead; Azure, React, AI/DevOps
Job in
Edison, Middlesex County, New Jersey, 08818, USA
Listed on 2026-07-27
Listing for:
Tech Mirrors
Full Time, Contract
position Listed on 2026-07-27
Job specializations:
-
Software Development
Full Stack Developer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Job Role:
Java Full Stack Technical Lead (Azure, React, AI/Dev Ops) (12+ Year Must)
Job Location:
New Jersey, NJ or Cary NC Onsite (F2F) (5days/week)
Job Type: Contract
Pay Range: $55-$60 /hour
Role Description s:
Experience:
12+ Years
Job Summary:
We are seeking a highly experienced Java Full Stack Technical Lead to design, develop, and deliver scalable enterprise solutions. The ideal candidate will have strong expertise in Java, Microservices, React JS, Azure Dev Ops, and AI-driven development, along with proven leadership in driving end-to-end solutioning, stakeholder engagement, and global delivery coordination.
- Lead end-to-end design, development, and implementation of full-stack applications
- Collaborate with business stakeholders to gather, analyze, and refine requirements
- Drive solution architecture and technical design decisions for complex systems
- Lead Agile Scrum teams and ensure adherence to Sprint deliverables
- Perform code reviews, design reviews, and enforce coding standards
- Coordinate with onshore and offshore teams for seamless delivery
- Manage production issues, enhancements, and continuous improvements
- Drive adoption of Dev Ops, CI/CD, and automation pipelines
- Stay updated on emerging technologies including AI/ML and cloud-native architectures
- Strong experience in Java (Spring Boot, Microservices architecture)
- Hands-on experience with React JS, JavaScript, Type Script, HTML, CSS
- Experience with Azure Cloud and Azure Dev Ops (CI/CD pipelines, Boards, Repos)
- Expertise in Git Hub Enterprise / version control / branching strategies
- Experience in building cloud-native and containerized applications (Docker/Kubernetes)
- Knowledge of REST APIs, event-driven architecture, and integration patterns
- Exposure to AI/ML tools, Generative AI, or AI-assisted development tools
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