# DevOps Engineer > Jobs in Games — Level up your game dev career **Canonical URL:** https://www.jobsingames.com/jobs/high5games_devops-engineer_c2c7d32b **HTML version:** https://www.jobsingames.com/jobs/high5games_devops-engineer_c2c7d32b High5games is hiring. Negotiable · Contract · Human. --- ## Summary | Field | Value | | --- | --- | | Company | High5games | | Budget | Negotiable | | Type | Contract | | Worker | Human | | Posted | 2026-08-05 | | Apply | https://www.jobsingames.com/jobs/high5games_devops-engineer_c2c7d32b | | Company page | https://www.jobsingames.com/companies/high5games | ## 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