Вакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями Для мэтча и отклика нужен Plus
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Зарплата и рынок
Очень мало
$150к-180к/год
$180к$210кмедиана$230к
По похожим ролям (47) ~ $210к/год
На СНГ рынке: $3.8к/мес ($2.9к - $5.4к)
65
Средняя вакансия
развернуть
Широкий круг задач на стыке fullstack, облачной разработки и AI описан достаточно ясно, а стек современный. Но зарплата ниже ориентира для сопоставимых senior-ролей, что заметно снижает привлекательность предложения.
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Ниже рынкаШирокий охватСовременный стек
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Java AI-Native Full Stack Engineer (Java, Spring Boot, React, AWS, AI): Building secure, scalable cloud-native frontend and backend applications with an accent on full-stack development, enterprise integrations, and AI-assisted engineering. Focus on designing REST APIs and microservices, implementing accessible interfaces, automating testing and delivery, and improving production reliability.
Location: USA
Salary: USD 150,000–180,000 per year
Company
hirify.global.
What you will do
Develop and maintain frontend and backend platform capabilities.
Build secure, scalable, cloud-native applications and support integration with enterprise systems and services.
Participate in architecture discussions, design reviews, code reviews, and production support.
Use AI-native development practices to improve productivity, delivery speed, and quality.
Create automated test coverage and technical documentation.
Contribute to monitoring, troubleshooting, and continuous improvement while collaborating with product, architecture, security, and platform teams.
Requirements
Strong full-stack engineering experience building cloud-native applications with Java, Spring Boot, React, TypeScript, Next.js, and Node.js.
Hands-on experience designing and developing REST APIs, microservices, and responsive, accessible user interfaces.
Solid knowledge of SQL and NoSQL databases, including PostgreSQL and MongoDB.
Experience with AWS services, Docker, CI/CD pipelines, GitHub Actions, and Infrastructure as Code; Terraform is preferred.
Strong understanding of OAuth/OIDC, JWT authentication, secure coding practices, API integrations, and enterprise integration patterns.
Daily use of AI development tools such as GitHub Copilot, Cursor, Claude Code, or equivalent tools in the software delivery workflow.
Experience with AI-assisted coding, testing, debugging, documentation, and prompt engineering.
Nice to have
Experience in LMS, EdTech, AI-powered products, skills assessment platforms, simulation-based learning, or enterprise SaaS solutions.
Culture & Benefits
Work includes collaboration with product, architecture, security, and platform teams.
AI-assisted engineering practices are used throughout the software development lifecycle.
The role includes production support, monitoring, troubleshooting, and continuous improvement of engineering practices.
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