Java Microservices Engineer for AI-Driven Data Platforms

Valiant Technologies LLC; Phoenix (AZ); On-site; USD 120,000 - 190,000; Full time

Job summary

Valiant Technologies LLC in Phoenix designs and develops MCP servers, tools, APIs, and data integration services to enable secure and efficient consumption of curated data by AI agents and applications.

We build scalable backend services with Java, Spring Boot and Python, focusing on RESTful APIs, microservices and secure data access, while collaborating with architects and data engineers to translate business requirements into robust technical solutions.

Qualifications

• Strong hands-on development experience with Java, Spring Boot and Python for backend services.
• Experience designing solution architectures, RESTful APIs, microservices, and reusable integration components.
• Strong SQL skills and data platform integration (Starburst/Trino preferred).
• Experience building secure, high-performance data access services for downstream apps and AI agents.
• Solid authentication/authorization and API security knowledge; performance optimization and troubleshooting.

Responsibilities

• Design MCP servers, tools, APIs, and data integration services for secure AI data consumption.
• Develop scalable backend services and reusable components.
• Build secure RESTful APIs and microservices with good performance.
• Collaborate with architects, data engineers and application teams to translate requirements into scalable solutions.

Skills

Java

Spring Boot

Python

RESTful APIs

Microservices

SQL

API security

Git

CI/CD

Automated testing

Containerization

LLMs awareness

Tools

Git

CI/CD pipelines

Automated testing

Code reviews

Docker

Job description

Valiant Technologies LLC in Phoenix designs and develops MCP servers, tools, APIs, and data integration services to enable secure and efficient consumption of curated data by AI agents and applications.

We build scalable backend services with Java, Spring Boot and Python, focusing on RESTful APIs, microservices and secure data access, while collaborating with architects and data engineers to translate business requirements into robust technical solutions.