Java MCP Developer

Gov Services Hub; Jacksonville (FL); On-site; USD 110,000 - 170,000; Full time

Job summary

Gov Services Hub is seeking a skilled backend engineer to develop secure, scalable MCP servers for enterprise AI enablement. You will design APIs and data services exposed to AI agents and copilots, and architect microservices with Java 17+, Spring Boot, and REST.

You will deploy on OpenShift or Kubernetes, manage containers and configs, and integrate REST, SOAP, and databases such as Oracle, SQL Server, and PostgreSQL.

Responsibilities

• Develop secure, scalable, and production-ready Model Context Protocol (MCP) Servers for enterprise AI enablement.
• Build and expose enterprise business capabilities, APIs, and data services to AI agents, copilots, and intelligent automation platforms.
• Architect and implement microservices using Java (Java 17+), Spring Boot, and REST APIs.
• Integrate enterprise systems with modern AI platforms by developing reusable MCP services.
• Work on API-based integrations for AI or agent-driven solutions, including understanding MCP concepts (servers, clients, tools, prompts, tool discovery/invocation).
• Deploy and support applications on OpenShift or Kubernetes, utilizing containers (Docker), deployments, services, routes/ingress, configMaps, secrets, autoscaling, and health checks.
• Integrate with various enterprise systems such as REST APIs, SOAP services, databases (Oracle, SQL Server, PostgreSQL), and event-driven platforms (Kafka, MQ).
• Ensure application security and compliance with enterprise standards.
• Collaborate with cross-functional teams to influence and drive the organization's AI strategy.
• (Desired) Utilize experience with MCP Java SDK, Spring AI, Knowledge Graphs (Neo4j), Azure AI Foundry, Copilot ecosystems, and/or Generative AI frameworks.
• (Desired) Leverage knowledge of financial services domains such as Wealth Management, Banking, Client Onboarding, or AML/KYC.

Job description

Job Summary (List Format):

• Develop secure, scalable, and production-ready Model Context Protocol (MCP) Servers for enterprise AI enablement.


• Build and expose enterprise business capabilities, APIs, and data services to AI agents, copilots, and intelligent automation platforms.


• Architect and implement microservices using Java (Java 17+), Spring Boot, and REST APIs.


• Integrate enterprise systems with modern AI platforms by developing reusable MCP services.


• Work on API-based integrations for AI or agent-driven solutions, including understanding MCP concepts (servers, clients, tools, prompts, tool discovery/invocation).


• Deploy and support applications on OpenShift or Kubernetes, utilizing containers (Docker), deployments, services, routes/ingress, configMaps, secrets, autoscaling, and health checks.


• Integrate with various enterprise systems such as REST APIs, SOAP services, databases (Oracle, SQL Server, PostgreSQL), and event-driven platforms (Kafka, MQ).


• Ensure application security and compliance with enterprise standards.


• Collaborate with cross-functional teams to influence and drive the organization's AI strategy.


• (Desired) Utilize experience with MCP Java SDK, Spring AI, Knowledge Graphs (Neo4j), Azure AI Foundry, Copilot ecosystems, and/or Generative AI frameworks.


• (Desired) Leverage knowledge of financial services domains such as Wealth Management, Banking, Client Onboarding, or AML/KYC.