Software Developer
Artech, Centennial, CO, United States
Join our team as an AI Enablement and Modernization Engineer where you will play a crucial role in advancing our software development processes. Based in Englewood, CO, this hybrid role offers a unique opportunity to work three days a week on-site, collaborating with talented professionals in a dynamic environment.
Required Skills & Qualifications
Practical experience using AI tools for code analysis, generation, documentation, or testing.
Experience in Java and Spring Boot development.
Strong knowledge of microservices architecture and API design principles.
Experience with RESTful services, JSON, and YAML.
Familiarity with CI/CD pipelines (Jenkins, Maven, Git).
Understanding of security best practices and performance tuning.
Proven ability to operate effectively in regulated, risk-driven enterprise environments.
Strong communication skills and the ability to teach and influence without formal authority.
Prior work experience at the client or in the client's industry.
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications
Strong background in software engineering with hands-on experience modernizing large, legacy systems.
Experience modernizing Java-based monoliths into Spring Boot or similar API architectures.
Experience with COBOL, mainframe environments, or large-scale batch processing systems.
Familiarity with containerized or cloud-based deployment models.
Knowledge of PCI, model risk governance (MRM), and banking compliance controls.
Observability stack experience.
Day-to-Day Responsibilities
Enable effective use of approved AI-assisted development tools such as enterprise copilots, internal GenAI tooling, and approved LLM platforms.
Develop and maintain reusable prompt patterns, agent workflows, and repository-level guidance to standardize AI-assisted development across teams.
Apply AI-assisted techniques to analyze legacy codebases, extract business rules, and document undocumented behavior.
Assist teams in modernizing legacy stacks including mainframe, batch, and large Java-based systems.
Enable AI-assisted generation of unit, integration, contract, and regression tests and integrate them into existing CI/CD pipelines.
Act as a hands-on coach for engineers and tech leads on compliant, effective AI usage.
Work closely with architecture, security, and risk partners early in the lifecycle to avoid late-stage blockers.
Company Benefits & Culture
Collaborative and innovative work environment.
Opportunities for professional growth and development.
Comprehensive benefits package including health, dental, and vision insurance.
For immediate consideration please click APPLY to begin the screening process with Alex.
Required Skills & Qualifications
Practical experience using AI tools for code analysis, generation, documentation, or testing.
Experience in Java and Spring Boot development.
Strong knowledge of microservices architecture and API design principles.
Experience with RESTful services, JSON, and YAML.
Familiarity with CI/CD pipelines (Jenkins, Maven, Git).
Understanding of security best practices and performance tuning.
Proven ability to operate effectively in regulated, risk-driven enterprise environments.
Strong communication skills and the ability to teach and influence without formal authority.
Prior work experience at the client or in the client's industry.
Applicants must be able to work directly for Artech on W2.
Preferred Skills & Qualifications
Strong background in software engineering with hands-on experience modernizing large, legacy systems.
Experience modernizing Java-based monoliths into Spring Boot or similar API architectures.
Experience with COBOL, mainframe environments, or large-scale batch processing systems.
Familiarity with containerized or cloud-based deployment models.
Knowledge of PCI, model risk governance (MRM), and banking compliance controls.
Observability stack experience.
Day-to-Day Responsibilities
Enable effective use of approved AI-assisted development tools such as enterprise copilots, internal GenAI tooling, and approved LLM platforms.
Develop and maintain reusable prompt patterns, agent workflows, and repository-level guidance to standardize AI-assisted development across teams.
Apply AI-assisted techniques to analyze legacy codebases, extract business rules, and document undocumented behavior.
Assist teams in modernizing legacy stacks including mainframe, batch, and large Java-based systems.
Enable AI-assisted generation of unit, integration, contract, and regression tests and integrate them into existing CI/CD pipelines.
Act as a hands-on coach for engineers and tech leads on compliant, effective AI usage.
Work closely with architecture, security, and risk partners early in the lifecycle to avoid late-stage blockers.
Company Benefits & Culture
Collaborative and innovative work environment.
Opportunities for professional growth and development.
Comprehensive benefits package including health, dental, and vision insurance.
For immediate consideration please click APPLY to begin the screening process with Alex.