Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$144к-216к/год
$180к$210кмедиана$250к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5.6к)
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Понятная senior-позиция сочетает backend-разработку и внедрение ИИ-инструментов, но зарплата ниже рыночной медианы, а обязательный офис пять дней в неделю ограничивает гибкость.
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Ниже рынкаТолько офисРабота с ИИХороший соцпакетПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI-Native Software Engineer (AI/backend): Building scalable enterprise platforms, microservices, APIs, event-driven architectures, and cloud-native services with an accent on Generative AI, LLMs, agentic development tools, and secure software delivery. Focus on creating AI-assisted engineering workflows, modernizing legacy systems, improving CI/CD, and coaching teams on responsible AI-powered development.
Location: Dallas, Texas, United States — Two AT&T Plaza. Full-time onsite role performed from the designated work location five days per week. No relocation is offered.
Salary: $143,800–$215,800 USD annual.
Company
AT&T provides telecommunications and digital services and is developing enterprise software platforms through its Billing Engineering organization.
What you will do
Design, develop, and deploy scalable microservices, high-performance APIs, API gateways, event-driven architectures, messaging systems, and cloud-native services.
Build integrations with relational and NoSQL databases while maintaining reliability, security, scalability, and clean architecture.
Use Generative AI, LLMs, GitHub Copilot, Cursor, Devin, and related agentic tools for code generation, testing, documentation, refactoring, and modernization.
Create reusable prompt frameworks, engineering workflows, and automation scripts that improve software delivery and developer productivity.
Lead adoption of AI-assisted engineering practices, review human- and AI-generated code, and coach engineers on prompt engineering and responsible AI use.
Partner with product, architecture, and platform teams to improve CI/CD, automated testing, code quality analysis, pull request summarization, and deployment automation.
Requirements
At least 5 years of professional software engineering experience developing and deploying enterprise applications and distributed systems.
Strong proficiency in at least one backend stack: Java/Spring Boot, Python/FastAPI/Django, Go, or Node.js.
Hands-on experience with microservices, APIs, cloud-native applications, and API architectures including REST, GraphQL, or gRPC.
Professional experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or Devin.
Experience with testing frameworks, databases such as PostgreSQL, Oracle, or MongoDB, Git workflows, CI/CD, and event-driven messaging platforms such as Kafka or JMS.
Ability to balance rapid innovation with enterprise-grade quality, security, governance, scalability, reliability, and maintainability.
Nice to have
Experience designing enterprise AI coding frameworks, prompt libraries, or developer productivity tooling.
Experience modernizing legacy applications and monolithic platforms through AI-assisted refactoring.
Knowledge of Agentic AI workflows and autonomous engineering tools.
Contributions to open-source projects, developer tools, internal platforms, or software productivity initiatives.
Experience building AI-enhanced software development workflows at scale.
Culture & Benefits
Medical, dental, and vision coverage.
401(k) plan, tuition reimbursement, paid time off, holidays, parental leave, and caregiver leave.
Adoption reimbursement, disability benefits, life insurance, supplemental benefits, and employee assistance programs.
Wellness programs and employee discounts on eligible AT&T mobility, internet, fiber, and phone services.
Equal employment opportunity, reasonable accommodations, and a fair-chance hiring process.
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