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Текст:
Hirify AI/Оригинал
TL;DR
Senior Full Stack Software Engineer – Java, Spring Boot & Angular (AI): Developing and supporting web applications, backend services, APIs, and analytics capabilities with an accent on Java, Spring Boot, Angular, cloud deployment, and AI-enabled features. Focus on integrating and evaluating reliable AI functionality, designing scalable software architecture, and delivering production-grade applications through automated testing and continuous integration.
Location: Dearborn, Michigan, United States; hybrid work
Company
hirify.global provides software engineering and technology services, supporting clients and business teams with modern software solutions.
What you will do
Design, develop, test, deploy, and maintain web applications and software tools.
Build front-end interfaces, back-end services, REST APIs, and analytics capabilities.
Collaborate with data scientists, AI engineers, product managers, business stakeholders, and cross-functional teams.
Integrate and evaluate AI-enabled features with attention to reliability, data protection, and responsible use.
Deliver prioritized backlog work in an Agile environment and apply pair programming, code reviews, automated testing, test-driven development, and CI/CD.
Participate in architecture discussions, communicate technical decisions and risks, improve engineering practices, and mentor team members.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or a related field.
7+ years of software engineering experience, including hands-on Java and Spring Boot development.
3+ years of experience developing applications with Angular.
Strong full-stack experience across front-end and back-end technologies, including production-grade software development and testing.
Hands-on experience with automated unit, integration, and end-to-end testing.
Experience in Agile development environments and with Rally.
Experience with CI/CD tools and pipelines such as Jenkins and Gradle.
Familiarity with cloud deployment, preferably Google Cloud Platform or AWS.
Experience with AI-enabled applications or integrating AI capabilities into software products.
Strong written and verbal communication, independent working ability, initiative, ambiguity navigation, clean coding, continuous learning, collaboration, and problem-solving skills.
Nice to have
Python and integration of analytics models or services into applications.
Generative AI or Large Language Model integrations.
Experience evaluating AI outputs and addressing reliability and security concerns.
Experience with supply chain, logistics, operations, or analytics software products.
Experience mentoring developers or coaching teams on Agile and modern software engineering practices.
Master’s degree in Computer Science, Software Engineering, or a related field.
Culture & Benefits
Full-time employment at 40 hours per week in a hybrid work arrangement.
Opportunities to collaborate with experts and clients and develop skills in emerging technologies.
Benefits may include medical, dental and vision coverage, paid time off, paid holidays, 401(k) matching, life and disability insurance, professional development, and wellness programs.
Inclusive workplace committed to equal opportunity and freedom from discrimination and harassment.
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