DevOps Engineer

Job not on LinkedIn

🔥 15 hours ago

🗽 New York – Remote

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⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Logo of High 5 Games

High 5 Games

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 Terraform and Ansible • Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with Vertex AI, Jenkins, and DataDog • Build and maintain scalable data and feature pipelines for 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 to improve latency and cost-efficiency of AI workloads • Ensure 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 • Collaborate with data scientists, ML engineers, and DevOps experts to automate workflows and enhance performance

🎯 Requirements

• 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

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