DevOps Engineer
Job in
New York, New York County, New York, 10261, USA
Listed on 2026-09-09
Listing for:
High 5 Games
Full Time
position Listed on 2026-09-09
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Data Engineering
Job Description & How to Apply Below
We’re looking for a Dev Ops 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 Dev Ops 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 Data Dog.
- Build and maintain scalable data and feature pipelines for both real-time and batch processing using Big Query, Big Table, 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.
- 3+ years of experience as a Dev Ops Engineer, ideally with a focus on ML and Data infrastructure.
- Strong hands‑on experience with Google Cloud Platform (GCP) – especially Big Query, 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 (Lang Graph or Lang Chain) is a plus.
- Bonus points if you’ve worked in gaming, real‑time fraud detection, or AI‑driven personalization systems.
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