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Java Microservices Architect Jobs in Missouri (NOW HIRING)

ITTConnect

Senior AI Engineer (Java)

Saint Louis, MO · On-site

$121K - $159K/yr

Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture. Integrate NLP, machine learning, and LLM capabilities into Java-based enterprise applications.

Artius Solutions

Lead Java Engineer

Saint Louis, MO · On-site

$140K - $150K/yr

... microservices using Spring Boot, Spring WebFlux, and modern design patterns (hexagonal architecture ... Java 21 preferred): including lambda expressions, Stream API, CompletableFuture, Virtual Threads ...

RIT Solutions, Inc.

Full stack Architect

Springfield, MO · On-site

... Java, Spring Boot, Hibernate/JPA. • Proficiency in front-end frameworks like Angular, React (Must Have 3-5 years), or Vue.js. • Experience with RESTful APIs, Microservices Architecture, and API ...

Jobgether

$40.50 - $52.25/hr

Build and maintain scalable applications following microservices architecture principles. * Develop ... Hands-on experience with Java 8/11 and strong knowledge of Spring/Spring Boot . * Solid frontend ...

Staffingine LLC

WCS Architect

Springfield, MO · On-site

... Java development with at least 5 years in WCS v7 or v8 * Strong understanding of WCS subsystems Catalog Order Member Promotions and Search * Experience with RESTful APIs microservices architecture ...

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Java Microservices Architect information

What does a Java Microservices Architect do?

A Java Microservices Architect is responsible for designing and overseeing the implementation of microservices-based architectures using the Java programming language. They break down complex applications into independent, modular services that can be developed, deployed, and scaled individually. Their role includes selecting appropriate frameworks, ensuring system reliability, and defining integration patterns between services. Additionally, they collaborate with development teams to enforce best practices, optimize performance, and ensure security across the microservices ecosystem.

What are the key skills and qualifications needed to thrive as a Java Microservices Architect?

To thrive as a Java Microservices Architect, you need expertise in Java programming, microservices design patterns, system integration, and a solid understanding of software architecture principles, often supported by a degree in computer science or related fields. Familiarity with tools like Spring Boot, Docker, Kubernetes, RESTful APIs, and cloud platforms such as AWS or Azure, along with relevant certifications, is typically required. Outstanding problem-solving, leadership, and communication skills help in guiding development teams and translating business needs into scalable solutions. These skills are crucial for delivering robust, efficient, and maintainable architectures that support evolving business requirements.

How does a Java Microservices Architect typically collaborate with development and operations teams during a project lifecycle?

A Java Microservices Architect plays a central role in bridging development and operations teams throughout a project's lifecycle. They work closely with developers to design scalable, modular services and establish best coding practices, while also partnering with DevOps engineers to ensure smooth deployment, monitoring, and maintenance. Regular meetings, architecture reviews, and hands-on guidance are common, as architects often mentor team members and help troubleshoot complex integration issues. This collaborative approach helps ensure system reliability, performance, and alignment with business goals.

What is the difference between Java Microservices Architect vs Java Backend Developer?

AspectJava Microservices ArchitectJava Backend Developer
Required CredentialsBachelor's in CS, Microservices, Cloud certificationsBachelor's in CS, Java certifications
Work EnvironmentDesigning and overseeing microservices architecture, collaborating with teamsDeveloping and maintaining Java backend applications
Employer & Industry UsageTech companies, cloud-based services, enterprise solutionsSoftware firms, startups, web applications
Search & Comparison IntentUnderstanding architecture roles, high-level designDevelopment tasks, coding, implementation

The Java Microservices Architect focuses on designing and overseeing microservices architecture, requiring strategic planning and high-level technical skills. In contrast, a Java Backend Developer primarily codes and maintains backend Java applications. Both roles often work in similar environments but differ in scope and responsibilities.

What are popular job titles related to Java Microservices Architect jobs in Missouri?

For Java Microservices Architect jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Java Microservices Architect jobs in Missouri look for?

The top searched job categories for Java Microservices Architect jobs in Missouri are:

What cities in Missouri are hiring for Java Microservices Architect jobs?

Cities in Missouri with the most Java Microservices Architect job openings:

Java Microservices Architect jobs near you
Infographic showing various Java Microservices Architect job openings in Missouri as of September 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.

Senior AI Engineer (Java)

Saint Louis, MO • On-site

ITTConnect
IT Services • 11 - 50 employees
Learn more about ITTConnectexternal

$121K - $159K/yr

Full-time

Posted 10 days ago

Job description

ITTConnect is seeking an experienced Senior AI Engineer (JAVA) to work for a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. End client is in the telecom industry. Job location: Saint Louis, MO.

We are seeking a highly experienced senior AI Engineer, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems. Key Responsibilities: Design and develop scalable backend applications and services using Java and Spring Boot.

Build event-driven and distributed services using Kafka, REST APIs, and microservices architecture. Integrate NLP, machine learning, and LLM capabilities into Java-based enterprise applications. Build or integrate NLP solutions for text classification, clustering, intent detection, and related use cases.

Perform data analysis and data validation using SQL. Design and deploy LLM workflows involving prompt engineering, evaluation, and Retrieval-Augmented Generation (RAG). Develop integrations between Java applications and Python-based AI/ML or model-serving services when appropriate.

Contribute to agentic AI workflows supporting multistep interactions, tool execution, validation, and workflow orchestration. Apply production engineering practices covering scalability, resiliency, security, testing, monitoring, and performance optimization. Contribute to LLMOps and MLOps practices, including evaluation, monitoring, versioning, deployment, and lifecycle management.

Collaborate with AI/ML, product, platform, data, and DevOps teams. Participate in architecture reviews, code reviews, technical planning, and production support. Mentor junior and offshore engineers and promote engineering best practices.

Requirements 10+ years of total technology or software-engineering experience. Strong hands-on backend development experience using Java. Strong experience with Spring Boot, REST APIs, and microservices.

Experience with Kafka or comparable event-driven messaging technologies. Practical experience implementing or integrating AI/ML capabilities in production applications. Experience with NLP use cases such as text classification or clustering.

Experience integrating machine learning models, NLP services, or LLM-based capabilities with enterprise applications. Hands-on experience with LLM concepts and solutions, including: Prompt engineering LLM evaluation Retrieval-Augmented Generation Strong SQL and relational-database experience. Experience with software testing, CI/CD, security, monitoring, and production support.

Strong communication and cross-functional collaboration skills. Preferred Qualifications Experience with agentic AI or multi-agent orchestration. Experience with LLMOps or MLOps in production environments.

Cloud experience with AWS, Azure, or Google Cloud Platform. Experience with Docker and Kubernetes. Experience integrating Java services with Python-based AI/ML components.

Experience with vector databases and semantic search. Familiarity with voice AI, IVR, conversational AI, intent detection, or call-routing systems. Voice and IVR experience are preferred but not required.

Experience mentoring distributed, offshore, or junior engineering teams.

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