DevOps Engineer – ML & Data Infrastructure

🕒 June 23

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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High 5 Games

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1995

🎮 Gaming

🎲 Gambling

🤝 B2B

Gaming • Gambling • B2B

High 5 Games is a developer and supplier of casino slot games and related platform services. The company creates and distributes dozens of online and land-based slot titles (over 150), offers progressive jackpots and in-game promotion tools, and provides a casino platform and game-studio solutions for operators and partners. High 5 Games serves regulated casinos and online operators with both B2B integrations and player-facing social/real-money experiences.

📋 Description

• 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. • Lead and mentor DevOps engineers, helping guide technical decisions and operational processes. • Support sprint planning, task prioritization, and cross-functional coordination across infrastructure and platform initiatives. • Conduct code reviews, share best practices, and contribute to building a high-performing engineering culture. • Collaborate closely with ML, Data, Product, and Security teams to align infrastructure strategy with business objectives.

🎯 Requirements

• 5+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure. • Experience leading projects, mentoring engineers, or managing technical teams. • 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. • Strong communication, collaboration, and stakeholder management skills. • Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.