Java Full-Stack Software Engineer (Kubernetes/React)

Quick Facts

• Role: Java Full-Stack Software Engineer (Kubernetes/React)

Description

Join an agile engineering team to design and deliver secure, scalable full-stack software solutions using Java (Spring Boot) and React. Build production-quality Java backend services and REST APIs, create responsive React-based user interfaces, and deploy/manage containerized workloads on Kubernetes. Use enterprise-authorized AI coding assist tools to improve code quality and delivery speed while validating outputs for correctness, performance, and security.

Responsibilities

• Deliver solutions across design, development, and technical troubleshooting for complex problems
• Create secure, high-quality production code and maintain algorithms for management and support platforms
• Develop and maintain scalable backend services and REST APIs with Java and Spring Boot
• Build and enhance responsive, accessible user-facing web applications with React
• Deploy, manage, and monitor Kubernetes-hosted containerized applications
• Leverage AI-assisted development tooling (code generation, refactoring, unit tests, documentation) with peer review and automated testing
• Apply SDLC toolchain knowledge, including AI-assisted automation capabilities
• Produce architecture and design artifacts and ensure design constraints are met
• Identify data and system patterns to improve coding hygiene and system architecture

Requirements

• 3+ years of applied experience; formal training or certification in software engineering concepts
• Hands-on system design, application development, testing, and operational stability experience
• Java backend proficiency with Spring Boot, REST API design, and microservices patterns
• React (or comparable modern JS framework) front-end experience
• Production/near-production experience deploying and managing Kubernetes workloads
• Enterprise-authorized AI-assisted development tool experience with critical evaluation/validation of AI outputs
• Responsible AI use knowledge (data sensitivity, secure handling, resiliency and security expectations)
• Overall SDLC knowledge and agile experience including CI/CD and security best practices