Devops Engineer (AI)

Формат работы

remote (только Canada)

Тип работы

fulltime

Грейд

middle/senior

Английский

Страна

Canada

Вакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:

TL;DR

Devops Engineer (AI): Designing, building, and optimizing the cloud infrastructure for machine learning operations with an accent on smooth deployments, real-time monitoring, and rock-solid reliability across the Google Cloud Platform (GCP) environment. Focus on automating workflows, enhancing performance, and ensuring system reliability for millions of players worldwide.

Location: Canada based candidates only

Company

hirify.global is a company in the gaming industry.

What you will do

Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.
Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog.
Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run.
Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
Ensure overall system reliability, scalability, and performance across the ML/Data platform.
Define and implement infrastructure best practices for deployment, monitoring, logging, and security.

Requirements

3+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
Proficiency with Terraform and Ansible.
Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.
Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
Strong understanding of monitoring and logging best practices for cloud and data systems.

Nice to have

Familiarity with AI orchestration frameworks (LangGraph or LangChain).
Experience in gaming, real-time fraud detection, or AI-driven personalization systems.

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