DevOps Engineer
At High 5 Games · New York, United States
- DevOps and infrastructure
- Full-time
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“New York, United States”
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- Posted
- 3 September 2026
- First seen by us
- 15 October 2026
- Last checked
- 12 hours ago
Job description
From High 5 Games’s job post, as they wrote it.
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.
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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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