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Sr Java Aws Developer Jobs in Missouri (NOW HIRING)

Senior AI Engineer (Java)

Saint Louis, MO · On-site

$121K - $159K/yr

Collaborate with AI/ML, product, platform, data, and DevOps teams. Participate in architecture ... Cloud experience with AWS, Azure, or Google Cloud Platform. Experience with Docker and Kubernetes.

Senior Java Developer

Saint Louis, MO · On-site

$54.25 - $69.25/hr

Mandatory Skills: 8-10+ years of hands-on software engineering experience Recent experience in Java, Kotlin, Oracle, Postgres, Data handling, Spring, Spring Boot Recent experience in Kafka, in memory ...

Senior Software Engineer - Java

O Fallon, MO · Hybrid

$116K - $153K/yr

Title and Summary Senior Software Engineer - Java Overview: Mastercard's Enterprise Credit Risk ... SQL, PostgreSQL / Oracle, Kafka, JSON / XML APIs oCloud, DevOps & Engineering: Azure or AWS, Docker ...

Java Developer

Saint Louis, MO

$49.50 - $64.25/hr

Unigroup is in need of a senior Java developer. They will be part of a 10+ person team developing on a large rewrite of their enterprise system along with smaller projects as well. This individual ...

Senior Software Engineer - Java

O Fallon, MO · On-site

$116K - $153K/yr

Title and Summary Senior Software Engineer - Java Overview: Mastercard's Enterprise Credit Risk ... SQL, PostgreSQL / Oracle, Kafka, JSON / XML APIs oCloud, DevOps & Engineering: Azure or AWS, Docker ...

Sr AWS Engineer

Saint Louis, MO · On-site

$101K - $139K/yr

I have an opportunity for a "Sr AWS Engineer" - (St Louis, MO - Remote). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if ...

Java Developer

O Fallon, MO · On-site

$47.75 - $61.75/hr

Familiarity with cloud platforms, preferably AWS or Azure, as well as experience with deploying ... This person would fit well into a senior or lead developer role, where they can leverage their deep ...

Sr AWS Engineer

Saint Louis, MO · On-site

$101K - $139K/yr

I have an opportunity for a "Sr AWS Engineer" - (St Louis, MO - Remote). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if ...

Showing results 21-40

Sr Java Aws Developer information

What is a Sr Java AWS developer?

Sr Java AWS Developers are experienced software engineers who specialize in building, deploying, and maintaining Java applications on Amazon Web Services (AWS) cloud platforms. They possess deep expertise in Java programming, cloud architecture, and AWS services such as EC2, Lambda, S3, and RDS. Their responsibilities typically include designing scalable applications, optimizing performance, ensuring security, and integrating AWS technologies to support business needs. These professionals also mentor junior developers and collaborate with cross-functional teams to deliver cloud-based solutions.

How does a Sr Java AWS developer typically collaborate with cross-functional teams on cloud-based projects?

As a Sr Java AWS Developer, you will frequently work alongside DevOps engineers, solution architects, QA testers, and project managers to design, implement, and maintain scalable cloud solutions. Collaboration usually involves participating in agile sprints, code reviews, and architecture discussions to ensure seamless integration of Java applications with AWS services. Effective communication and a willingness to share expertise are essential, as you'll often mentor junior developers and help troubleshoot complex deployment issues. This team-driven environment fosters continuous learning and innovation, especially as cloud technologies rapidly evolve.

What are the key skills and qualifications needed to thrive as a Sr Java AWS developer, and why are they important?

To thrive as a Sr Java AWS Developer, you need advanced Java programming skills, experience with cloud architectures, and a strong understanding of software development best practices, typically supported by a relevant degree. Proficiency in AWS services (such as EC2, Lambda, S3), CI/CD tools, and certifications like AWS Certified Developer or Solutions Architect are highly valued. Excellent problem-solving, communication, and teamwork skills set top performers apart in this role. These competencies are crucial to designing scalable cloud solutions, ensuring code quality, and collaborating effectively in dynamic, agile environments.

What is the difference between Sr Java Aws Developer vs Java Aws Developer?

AspectSr Java Aws DeveloperJava Aws Developer
Required Experience5+ years in Java and AWS, leadership skills1-3 years in Java and AWS
CertificationsAWS Certified Solutions Architect, Java certificationsBasic AWS and Java certifications preferred
Work EnvironmentLeading projects, mentoring juniors, designing solutionsDeveloping features, coding, testing
ResponsibilitiesArchitectural design, team coordinationImplementation, coding, debugging

The main difference between a Sr Java Aws Developer and a Java Aws Developer lies in experience, responsibilities, and leadership roles. The senior role involves architectural design, mentoring, and project leadership, while the Java Aws Developer focuses on coding and feature development. Both roles require strong Java and AWS skills, but the senior position demands more experience and certifications.

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Cities in Missouri with the most Sr Java Aws Developer job openings:

Infographic showing various Sr Java Aws Developer job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior AI Engineer (Java)

Saint Louis, MO • On-site

ITTConnect
IT Services • 11 - 50 employees

$121K - $159K/yr

Full-time

Posted 8 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.