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High 5 Games

DevOps Engineer

High 5 Games New York, New York, United States

Mobile Gaming Apps · 51-200 employees

Yesterday
Remote devops Mid (2-5 yrs) Full-time United States
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About the role

You will design, build, and optimize cloud infrastructure to support machine learning operations and scale AI models from research to production. This involves automating workflows, managing CI/CD pipelines, and ensuring system reliability and performance across the GCP environment.

What they look for

DevOps Google Cloud Platform Terraform Ansible CI/CD Vertex AI Jenkins DataDog BigQuery BigTable Dataflow Cloud Run Docker Kubernetes Python Machine Learning

Requirements

The role requires 3+ years of DevOps experience with a strong focus on Google Cloud Platform and infrastructure automation tools like Terraform. Candidates should have proficiency in containerization, CI/CD pipeline management, and monitoring practices for data-intensive systems.

Full description

We’re looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations. You’ll play a key role in scaling AI models from research to production — ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our Google Cloud Platform (GCP) environment.

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.

What You’ll 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.
  • Optimize inference performance, improving latency and cost-efficiency of AI workloads.
  • Ensure overall system reliability, scalability, and performance across the ML/Data platform.
  • Define and implement infrastructure best practices for deployment, monitoring, logging, and security.
  • Troubleshoot complex issues affecting ML/Data pipelines and production systems.
  • Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.

What We’re Looking For

  • 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 bonus points for 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.
  • Scripting experience with Python, Groovy, or Shell.
  • Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
  • Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.

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