Java Software Engineer

Role: Java Software Engineer
Location: Jefferson City, MO or Kansas City (In-Office) – Onsite is must.
RESPONSIBILITIES:
Provide full life cycle development with JAVA.
Understand coding standards and implement them within code being developed.
Ability to troubleshoot problems and provide solutions.
Ability to communicate with the users to determine problems or design requirements.
Ability to work on a team to complete programming projects in a timely manner.
Ability to document changes and follow the Systems Development Life Cycle process independently.
Ability to multitask and prioritize tasks.
Other duties assigned by the Manager of Application Development.
SKILLS AND QUALIFICATIONS:
Experience in JAVA programming, and programming in a Tomcat environment (Java Servlets, JSP).
Knowledge of: JAVA, JavaScript, JDBC, SQL, Gradle, HTML, React, and CSS Design Tokens.
Experience with or demonstrated ability to learn: Spring Boot, Tomcat, Spring Data JPA, and Containers/Docker/Kubernetes.
Front-end experience with React, CSS Modules and React Query.  A willingness to build against a design-token source (CSS Design Tokens) that generates CSS, Swift and Android outputs.
Experience working with RESTful web services, JSON, and XML is desired; familiarity with API security using OAuth 2.0 and OIDC with PKCE and per-endpoint scope enforcement is a plus.
Experience with Gradle builds, dependency/SBOM management, and CI/CD as code (Bitbucket Pipelines) is desired.
Experience in building, testing, and distributing iOS and Android applications is desired; exposure to Swift/SwiftUI and Kotlin/Jetpack Compose is a plus.
Working knowledge of AI-assisted development tools: using AI coding assistants and design-to-code generation effectively with standard prompts, shared design tokens, the judgment to review, test and correct AI-generated code before it is committed.
Ability to write clear, well-scoped prompts and to recognize when AI output needs human verification.
General familiarity with AI application concepts such as conversational assistants, insight generation, document Q&A, and model serving is a plus.
Understanding of responsible and secure AI use in a regulated banking environment, including not exposing credentials, source code or customer data to external tools, and respecting licensing and compliance requirements.
Strong written and verbal communication skills with the ability to communicate with both the business community and the technical community.
Strong analytical skills, self-motivation, and attention to detail
Good organizational and time management skills.
EDUCATION REQUIREMENTS:
High School diploma or equivalent
BS or BA in Computer Science or related field 
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