high 5 games

high 5 games

DevOps Engineer

Canada

Sponsorship not specifiedDetected 20 days ago
PythonBigQueryGCPCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDJenkinsDevOpsMachine LearningData EngineeringLangGraphAI OrchestrationResearch

About the role

  • You'll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide.
  • Set up infrastructure for model monitoring and observability - detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
  • Troubleshoot complex issues affecting ML/Data pipelines and production systems.

Responsibilities

  • 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.
  • Optimize inference performance, improving latency and cost-efficiency of AI workloads.
  • 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.
  • Strong understanding of monitoring and logging best practices for cloud and data systems.
  • Scripting experience with Python, Groovy, or Shell.

Nice to have

  • Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.

Benefits

  • Proficiency with Terraform (and bonus points for Ansible ).

Company info

  • What We're Looking For

This listing is sourced directly from high 5 games's careers page and normalized into a canonical job model.