Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Обязанности описаны понятно, а работа связана с производством AI-инфраструктуры, но обязательный офисный формат снижает гибкость, а условия оплаты не указаны.
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Актуальный стек
AI-инфраструктура
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Backend Developer (AI) (Python, Cloud Manufacturing): Building scalable backend services, APIs, microservices, and command/control systems for cloud-based performance monitoring and factory-floor software with an accent on Python, containerization, databases, and workflow automation. Focus on designing integrations, troubleshooting production systems, and improving performance, scalability, and reliability in AI-enabled manufacturing infrastructure.
Location: Onsite in the Guadalajara Area, Mexico
Company
hirify.global develops AI-enabled robotics and software for manufacturing data center infrastructure, including servers, for hyperscalers, neoclouds, and OEMs.
What you will do
Develop, maintain, optimize, and document backend services, APIs, and microservices for cloud-based performance monitoring, KPI dashboards, and factory-floor command/control systems.
Build software components and workflows using the hirify.global Platform and Temporal framework.
Write Linux Bash scripts, create containers, and automate software installation.
Design integrations with third-party systems and internal platforms.
Troubleshoot production issues and implement timely fixes while improving performance, scalability, and reliability.
Collaborate with frontend, QA, DevOps, and product teams; participate in code reviews and improve engineering standards.
Requirements
3+ years of experience as a Python developer or in a similar role.
Advanced Python and intermediate Linux knowledge.
Experience building and consuming REST APIs.
Solid understanding of relational databases such as SQL Server, MySQL, or PostgreSQL and/or NoSQL databases such as MongoDB or Redis.
Familiarity with cloud services including AWS, Azure, or GCP, and containerization with Docker or Kubernetes.
Experience with Git and CI/CD pipelines.
Ability to write automated unit and integration tests.
Knowledge of message queues such as RabbitMQ, Kafka, or SQS.
Exposure to ELK, Grafana, Prometheus, or other monitoring and observability tools.
Understanding of secure coding practices.
Culture & Benefits
Full-time onsite work in the Guadalajara Area, Mexico.
Cross-functional collaboration throughout project lifecycles, including system and subsystem-level user requirement validation.
Opportunity to contribute to software-defined manufacturing and AI infrastructure production.
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