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Java Lead with AI exp

Sharpedge SolutionsSt. Louis, MO🇺🇸United StatesPosted Oct 5, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
St. Louis, MO, United States
Posted
Yesterday
SAFeDockerMaterial UIMicroservicesMongoDBOracleSQLSpringSpring BootAWSOWASPSonarQubeAgileAzureCSSGenerative AIGitHub ActionsJUnitJavaJavaScriptJenkinsJestKubernetesPlaywrightPostgreSQLRESTReactTailwind CSSTesting LibraryTypeScriptVite

Job Description

Job Summary: 

  • Full Stack Engineer with expertise in React, TypeScript, Java, Spring Boot, REST APIs, and Microservices.
  • Experience building modern, responsive web applications using React, Vite, React Router, Material UI, Tailwind CSS, and ShadCN UI.
  • Proficient in developing secure, high-quality code using Java, JavaScript/TypeScript, and SQL, with knowledge of OWASP, CWE, and secure coding practices.
  • Experience developing AI-powered applications, including Generative AI, Agentic AI, Prompt Engineering, and RAG-based solutions.
  • Hands-on experience with Model Context Protocol (MCP), including MCP Clients, MCP Servers, tool integration, orchestration, and enterprise system connectivity.
  • Familiarity with AI frameworks such as Semantic Kernel, LangChain, and LangGraph.
  • Strong knowledge of Spring Framework, object-oriented design principles, and GoF design patterns.
  • Experience building APIs, event-driven services, batch applications, and cloud-native microservices architectures.
  • Proficient in automated testing using JUnit, Mockito, Jest, React Testing Library, and Playwright.
  • Experience with code quality and security tools such as SonarQube, Checkmarx, and Zally.
  • Knowledge of relational, NoSQL, and vector databases including Oracle, PostgreSQL, MongoDB, and PGVector.
  • Experience implementing non-functional requirements including security, scalability, performance, observability, and resiliency.
  • Hands-on experience with CI/CD pipelines, GitHub Actions, Azure DevOps, Jenkins, Docker, Kubernetes, and cloud platforms such as Azure, AWS, and PCF.
  • Strong understanding of SAFe Agile, DevOps, and modern software engineering best practices.
  • Excellent problem-solving, communication, mentoring, and collaboration skills with a passion for continuous learning and innovation.

Bachelor's degree in Computer Science, Software Engineering, or a related technical field

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