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2 дня назад

Infrastructure Engineer (AI)

102 000 - 117 500$
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Poland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Infrastructure Engineer (Python/GCP): Designing and operating production infrastructure for a large-scale retail AI platform with an accent on scalability, reliability, and cost-efficiency. Focus on building robust data pipelines, implementing advanced deployment strategies, and optimizing cloud resource usage.

Location: Remote (Poland/Europe)

Salary: $102,000 - $117,500 + stock options

Company

hirify.global is a Silicon Valley-based startup specializing in retail AI solutions and deep learning computer vision to automate brick-and-mortar stores.

What you will do

  • Design and operate core infrastructure including cloud platforms, data pipelines, and observability systems.
  • Architect scalable backend infrastructure using Python, FastAPI, Kafka, and Docker on GCP.
  • Develop and maintain CI/CD pipelines supporting blue/green and canary deployments for zero-downtime launches.
  • Implement comprehensive monitoring and alerting systems for global system health visibility.
  • Create internal tooling for efficient data access across diverse geographic locations.
  • Collaborate with backend, deep learning, and embedded teams to align infrastructure with product needs.

Requirements

  • 5+ years of experience in infrastructure, platform, or DevOps engineering.
  • Proven production experience with GCP at scale.
  • Expertise with Kubernetes, Helm, and Docker in production environments.
  • Strong software development background in Python (not just scripting).
  • Proficiency with Terraform for Infrastructure-as-Code.
  • Experience with Prometheus for metrics, alerting, and instrumentation.
  • Advanced written and spoken English proficiency.

Nice to have

  • Operational knowledge and query tuning for MySQL.
  • Experience with MongoDB, Kafka, or similar streaming platforms.
  • Proficiency with CircleCI.
  • Experience managing data-intensive applications and microservices at scale.

Culture & Benefits

  • Competitive salary and attractive stock options.
  • Paid Time Off and team retreats.
  • Education grants for professional development.
  • Collaborative environment with a high-performing international team.
  • Flexible work arrangement with B2B or employment contract options.

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