DevOps Engineer - ML & Data Infrastructure

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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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. We’re also looking for someone with strong leadership and team management capabilities who can mentor engineers, coordinate initiatives, and help drive operational excellence across the team.</span></p>\n<p><br></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What You’ll Do:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Optimize inference performance, improving latency and cost-efficiency of AI workloads.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure overall system reliability, scalability, and performance across the ML/Data platform.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Define and implement infrastructure best practices for deployment, monitoring, logging, and security.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Troubleshoot complex issues affecting ML/Data pipelines and production systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Lead and mentor DevOps engineers, helping guide technical decisions and operational processes.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Support sprint planning, task prioritization, and cross-functional coordination across infrastructure and platform initiatives.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Conduct code reviews, share best practices, and contribute to building a high-performing engineering culture.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Collaborate closely with ML, Data, Product, and Security teams to align infrastructure strategy with business objectives.</span><br><br></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What We’re Looking For:</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">5+ years 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: 12pt\">Experience leading projects, mentoring engineers, or managing technical teams.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proficiency with Terraform (and bonus points for Ansible).</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience building and maintaining CI/CD pipelines, preferably with Jenkins.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong understanding of monitoring and logging best practices for cloud and data systems.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Scripting experience with Python, Groovy, or Shell.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong communication, collaboration, and stakeholder management skills.</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.</span></li>\n</ul>",
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