AI-Driven Senior Software Engineer – Java, Spring Boot, Vue

Hudson Manpower; Cincinnati (OH); On-site; USD 120,000 - 170,000; Full time

Job summary

Hudson Manpower in the United States is seeking a highly experienced Senior Software Engineer to modernize enterprise applications and advance engineering practices across the organization.

You will design and build cloud-native backend services in Java with Spring Boot, develop Vue.js front-ends, and lead AI-assisted development, testing, and CI/CD pipelines. The ideal candidate stays hands-on and mentors teams to adopt responsible AI standards.

Qualifications

• Experience designing and delivering cloud-native enterprise applications.
• Strong background in Java/Spring Boot backend development.
• Proficiency with Vue.js front-end development.
• Hands-on experience with automated unit and acceptance testing.
• Knowledge of relational and NoSQL databases and cloud-native patterns.

Responsibilities

• Design, develop, test, troubleshoot, and maintain cloud-native enterprise applications.
• Build backend applications and services using Java and Spring Boot.
• Develop front-end applications using Vue.js.
• Apply AI-assisted engineering techniques throughout the SDLC.
• Develop and maintain automated CI/CD pipelines.
• Mentor engineers and promote modern development practices.
• Collaborate with architects and engineering leaders on standards.

Skills

Java

Spring Boot

Vue.js

Git/GitHub

Automated testing

Relational databases

NoSQL databases

Cloud-native development

Tools

Claude Code

GitHub Copilot

Copilot CLI

.NET 8+

Python

Redis

RabbitMQ

GitHub Actions

Kubernetes

Azure

Tanzu Application Service / PCF

Other cloud platforms

Job description

Hudson Manpower in the United States is seeking a highly experienced Senior Software Engineer to modernize enterprise applications and advance engineering practices across the organization.

You will design and build cloud-native backend services in Java with Spring Boot, develop Vue.js front-ends, and lead AI-assisted development, testing, and CI/CD pipelines. The ideal candidate stays hands-on and mentors teams to adopt responsible AI standards.