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10 дней назад

DevOps Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
DevOps Engineer (AI/GCP): Designing, building, and optimizing cloud infrastructure for machine learning operations with an accent on scalable deployments, real-time monitoring, and reliability across Google Cloud Platform. Focus on automating ML and data workflows, building real-time and batch pipelines, optimizing inference latency and cost, and maintaining observability and security for real-money gaming systems.

Location: New York, New York (Remote)

Company

hirify.global develops gaming products serving millions of players worldwide, including real-money gaming environments.

What you will do

  • Manage, configure, and automate Google Cloud infrastructure with Terraform and Ansible.
  • Implement CI/CD pipelines for machine learning models and data workflows, including versioning, rollback, deployment, and monitoring.
  • Build and maintain scalable real-time and batch data and feature pipelines using BigQuery, Bigtable, Dataflow, Composer, Pub/Sub, and Cloud Run.
  • Set up model monitoring and observability to detect drift, bias, and performance issues.
  • Optimize AI inference latency and cost efficiency while ensuring platform reliability, scalability, and performance.
  • Troubleshoot production ML and data systems and implement deployment, logging, security, and governance best practices.

Requirements

  • 3+ years of experience as a DevOps Engineer, ideally focused on ML and data infrastructure.
  • Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
  • Proficiency with Terraform and experience with containerization and orchestration using Docker, Kubernetes, and GKE.
  • Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
  • Strong understanding of monitoring and logging for cloud and data systems.
  • Scripting experience with Python, Groovy, or Shell.

Nice to have

  • Experience with Ansible and AI orchestration frameworks such as LangGraph or LangChain.
  • Background in gaming, real-time fraud detection, or AI-driven personalization systems.

Culture & Benefits

  • Remote work arrangement based in New York, New York.
  • Collaboration with data scientists, ML engineers, and DevOps specialists.
  • Work on AI systems supporting millions of players and real-money gaming use cases.

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