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DevOps Engineer

High5games · Active · BambooHR

Job facts

FieldValue
CompanyHigh5games
TitleDevOps Engineer
Normalized title-
Department / team-
LocationCanada
Work model-
Employment typeContract
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-20 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from High5games.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyHigh5games
Sourcec7e26325-a08a-4d9d-8c9a-4109c355f69d
ATS providerBambooHR

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 IDf33a4c36e57fa8355fd34cb9e31a3650069830ea
Org ID83665af9-0dcd-4c24-afa6-c9c30012b997
Source IDc7e26325-a08a-4d9d-8c9a-4109c355f69d
Board IDc7e26325-a08a-4d9d-8c9a-4109c355f69d
Providerbamboohr
Provider Job Key158
TitleDevOps Engineer
Normalized Title
Statusactive
Activeyes
Location Text
Department
Team
Employment Typecontract
Workplace Type
Remote Policy
CountryCanada
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://high5games.bamboohr.com/careers/158
Apply URLhttps://high5games.bamboohr.com/careers/158
First Seen At2026-05-30 06:05:01Z
Last Seen At2026-06-06 10:28:18Z
Last Checked At2026-06-06 10:28:18Z
Last Changed At2026-05-30 06:05:01Z
Inactive At
Source Posted At2026-05-20 00:00:00Z
Source Updated At
Raw Payload Uris3://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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