Home › Companies › High5games › DevOps Engineer
DevOps Engineer
High5games · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | High5games |
| Title | DevOps Engineer |
| Normalized title | - |
| Department / team | - |
| Location | Canada |
| Work model | - |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-20 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from High5games. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | High5games |
| Source | c7e26325-a08a-4d9d-8c9a-4109c355f69d |
| ATS provider | BambooHR |
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 .
Full job record
| Job ID | f33a4c36e57fa8355fd34cb9e31a3650069830ea |
| Org ID | 83665af9-0dcd-4c24-afa6-c9c30012b997 |
| Source ID | c7e26325-a08a-4d9d-8c9a-4109c355f69d |
| Board ID | c7e26325-a08a-4d9d-8c9a-4109c355f69d |
| Provider | bamboohr |
| Provider Job Key | 158 |
| Title | DevOps Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | contract |
| Workplace Type | — |
| Remote Policy | — |
| Country | Canada |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://high5games.bamboohr.com/careers/158 |
| Apply URL | https://high5games.bamboohr.com/careers/158 |
| First Seen At | 2026-05-30 06:05:01Z |
| Last Seen At | 2026-06-06 10:28:18Z |
| Last Checked At | 2026-06-06 10:28:18Z |
| Last Changed At | 2026-05-30 06:05:01Z |
| Inactive At | — |
| Source Posted At | 2026-05-20 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=high5games/date=2026-06-06/2026-06-06T10-28-17-956Z-e57023d9448aaa3b014e57cc1b2fc0b06b7304440533b3f184bd87651f246943.json |
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"description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">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.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">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.<br><br></span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-weight: bold\">What You’ll Do</span></span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Manage, configure, and automate cloud infrastructure using tools such as<span> </span><span style=\"font-weight: bold\">Terraform</span><span> </span>and<span> </span><span style=\"font-weight: bold\">Ansible</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Implement<span> </span><span style=\"font-weight: bold\">CI/CD pipelines</span><span> </span>for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like<span> </span><span style=\"font-weight: bold\">Vertex AI</span>,<span> </span><span style=\"font-weight: bold\">Jenkins</span>, and<span> </span><span style=\"font-weight: bold\">DataDog</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Build and maintain scalable<span> </span><span style=\"font-weight: bold\">data and feature pipelines</span><span> </span>for both real-time and batch processing using<span> </span><span style=\"font-weight: bold\">BigQuery</span>,<span> </span><span style=\"font-weight: bold\">BigTable</span>,<span> </span><span style=\"font-weight: bold\">Dataflow</span>,<span> </span><span style=\"font-weight: bold\">Composer</span>,<span> </span><span style=\"font-weight: bold\">Pub/Sub</span>, and<span> </span><span style=\"font-weight: bold\">Cloud Run</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Set up infrastructure for<span> </span><span style=\"font-weight: bold\">model monitoring</span><span> </span>and observability — detecting drift, bias, and performance issues using<span> </span><span style=\"font-weight: bold\">Vertex AI Model Monitoring</span><span> </span>and custom dashboards.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Optimize<span> </span><span style=\"font-weight: bold\">inference performance</span>, improving latency and cost-efficiency of AI workloads.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Ensure overall<span> </span><span style=\"font-weight: bold\">system reliability, scalability, and performance</span><span> </span>across the ML/Data platform.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Define and implement<span> </span><span style=\"font-weight: bold\">infrastructure best practices</span><span> </span>for deployment, monitoring, logging, and security.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Troubleshoot complex issues affecting ML/Data pipelines and production systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Ensure compliance with<span> </span><span style=\"font-weight: bold\">data governance, security, and regulatory standards</span>, especially for real-money gaming environments.<br><br></span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-weight: bold\">What We’re Looking For</span></span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-weight: bold\">3+ years</span><span> </span>of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Strong hands-on experience with<span> </span><span style=\"font-weight: bold\">Google Cloud Platform (GCP)</span><span> </span>— especially<span> </span><span style=\"font-weight: bold\">BigQuery</span>,<span> </span><span style=\"font-weight: bold\">Dataflow</span>,<span> </span><span style=\"font-weight: bold\">Vertex AI</span>,<span> </span><span style=\"font-weight: bold\">Cloud Run</span>, and<span> </span><span style=\"font-weight: bold\">Pub/Sub</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Proficiency with<span> </span><span style=\"font-weight: bold\">Terraform</span><span> </span>(and bonus points for<span> </span><span style=\"font-weight: bold\">Ansible</span>).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Solid grasp of<span> </span><span style=\"font-weight: bold\">containerization</span><span> </span>(Docker, Kubernetes) and orchestration platforms like<span> </span><span style=\"font-weight: bold\">GKE</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Experience building and maintaining<span> </span><span style=\"font-weight: bold\">CI/CD pipelines</span>, preferably with<span> </span><span style=\"font-weight: bold\">Jenkins</span>.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\">Strong understanding of<span> </span><span style=\"font-weight: bold\">monitoring and logging best practices</span><span> </span>for cloud and data systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; 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