Senior Software Engineer

Hudson Manpower

Cincinnati (OH)

On-site

USD 120,000 - 170,000

Full time

4 days ago
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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

Job Summary

We are seeking a highly experienced, AI-forward Senior Software Engineer to modernize enterprise applications and help transform software engineering practices across the organization.

Key Responsibilities
  • Design, develop, test, troubleshoot, and maintain cloud-native enterprise applications.
  • Build backend applications and services using Java and Spring Boot.
  • Develop and contribute to modern front-end applications using Vue.js.
  • Work effectively across large, existing, polyglot codebases.
  • Apply AI-assisted engineering techniques throughout the software development lifecycle.
  • Use tools such as Claude Code and GitHub Copilot to improve engineering productivity.
  • Evaluate AI development tools and establish appropriate standards and guardrails.
  • Leverage AI for codebase analysis, development, testing, debugging, documentation, refactoring, and research.
  • Partner with architects and engineering leaders on architectural patterns and implementation standards.
  • Champion TDD, pair programming, continuous feedback, and Extreme Programming practices.
  • Diagnose complex production issues using logs, metrics, messaging systems, databases, and application behavior.
  • Develop and maintain automated CI/CD pipelines.
  • Mentor engineers and introduce improved development techniques.
  • Break complex engineering problems into actionable work.
  • Collaborate with business, architecture, development, QA, and operations teams.
  • Promote experimentation, continuous improvement, and responsible AI adoption.
Required Technology
  • Java
  • Spring Boot
  • Vue.js
  • Git/GitHub
  • Automated unit and acceptance testing
  • Relational and NoSQL databases
  • Cloud-native application development
Preferred / Valuable Technology
  • Claude Code
  • GitHub Copilot / Copilot CLI
  • .NET 8+
  • Python
  • Redis
  • RabbitMQ
  • GitHub Actions
  • Kubernetes
  • Azure
  • Tanzu Application Service / Pivotal Cloud Foundry
  • Other cloud-native application platforms
Ideal Candidate

The successful candidate must remain a hands‑on engineer despite their seniority. They should be able to enter unfamiliar systems, quickly understand existing architecture and code, identify the right questions, collaborate with existing teams, and begin delivering value with limited direction.

Candidates should be able to demonstrate how AI has materially improved their engineering workflow, rather than simply listing AI tools on their resume.

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