Senior Java Backend Architect for AI-Ready Data APIs

Valiant Technologies LLC; United States; Remoto; USD 120.000 - 170.000; Tempo pieno

Descrizione del lavoro

Valiant Technologies LLC is seeking a backend architect/developer in the United States to design MCP servers, tools, and APIs, creating scalable data integration services for secure access by AI agents and applications.

You will build with Java/Spring Boot and Python, design RESTful APIs and microservices, and ensure security, performance, and efficient data access. Collaboration with architects and data engineers is essential to translate requirements into reusable solutions.

Competenze

• Strong hands-on development experience with Java, Spring Boot, and Python for building scalable backend services.
• Experience designing solution architectures, RESTful APIs, microservices, and reusable integration components.
• Strong SQL skills and experience with Starburst/Trino or similar data platforms.
• Experience building secure, high-performance data access services for curated data to AI agents and applications.
• Strong understanding of authentication, authorization, API security, performance optimization, and troubleshooting.
• Git, CI/CD, automated testing, code reviews, and containerization practices.

Mansioni

• Designs the architecture and develops reusable MCP servers, tools, APIs, and data integration services for secure data consumption by AI agents and applications.

Conoscenze

Java

Spring Boot

Python

RESTful APIs

Microservices

SQL

Starburst/Trino

API security

Git

CI/CD

Docker

LLMs & agentic AI

Collaboration

Troubleshooting

Strumenti

Git

Docker

CI/CD pipelines

Starburst/Trino

Descrizione del lavoro

Valiant Technologies LLC is seeking a backend architect/developer in the United States to design MCP servers, tools, and APIs, creating scalable data integration services for secure access by AI agents and applications.

You will build with Java/Spring Boot and Python, design RESTful APIs and microservices, and ensure security, performance, and efficient data access. Collaboration with architects and data engineers is essential to translate requirements into reusable solutions.