Назад
Company hidden
6 дней назад

AI System Engineer (AI/OPS)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

AI System Engineer (AI/OPS): Designing, implementing, and maintaining scalable infrastructure for AI/OPS applications with an accent on cloud computing, distributed systems, and observability. Focus on building high-performance monitoring, automation, and security pipelines to ensure system availability and reliability for complex enterprise software environments.

Location: Hybrid

Company

hirify.global is a leading innovator in cloud ERP solutions, dedicated to helping small and midsized businesses thrive through intelligent workflows and user-friendly technology.

What you will do

  • Design and implement secure, scalable, and highly available infrastructure tailored for AI/OPS applications.
  • Manage large-scale distributed systems, including implementation of load balancing, caching, and message queuing.
  • Deploy and maintain monitoring and observability stacks using Prometheus, Grafana, and PRTG.
  • Implement automation workflows for deployment, scaling, and service management using JIRA and JSM.
  • Collaborate with cross-functional engineering and product teams to deliver robust AI/OPS projects.
  • Maintain system security, compliance, and comprehensive documentation for AI-integrated infrastructures.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in systems engineering.
  • 2+ years of hands-on experience in AI/OPS environments.
  • Proficiency in cloud computing platforms (AWS, Azure, or Google Cloud).
  • Strong programming skills in Python, Java, or C++.
  • Expertise in Linux and Windows Server administration along with monitoring/automation toolsets.

Nice to have

  • Master’s degree in Computer Science, Engineering, or related field.
  • Experience with machine learning and deep learning pipelines.
  • Knowledge of containerization and orchestration technologies.

Culture & Benefits

  • Hybrid working environment with potential for professional and financial growth.
  • Comprehensive health and life insurance coverage.
  • Paid paternity leave and office-provided lunches.
  • Opportunities to collaborate with distributed global teams.
  • High-energy, collaborative culture focused on work-life balance and innovation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →