What are the responsibilities and job description for the Senior Software Engineer position at Hudson IT?
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.
The ideal candidate is a hands-on senior developer with strong Java/Spring Boot, Vue.js, cloud-native engineering, and AI-assisted development experience. The candidate should be comfortable working across large, polyglot codebases and adopting modern engineering practices.
Key Responsibilities
Required Technology
Preferred / Valuable Technology
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.
Required Technology
Preferred / Valuable Technology
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.
We are seeking a highly experienced, AI-forward Senior Software Engineer to modernize enterprise applications and help transform software engineering practices across the organization.
The ideal candidate is a hands-on senior developer with strong Java/Spring Boot, Vue.js, cloud-native engineering, and AI-assisted development experience. The candidate should be comfortable working across large, polyglot codebases and adopting modern engineering practices.
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.
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.