DevOps Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 31d ago
The date the source published, not the day we noticed it (2026-09-03). Last seen at its source 2h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $149.2k–221.9k/yr
Middle 50% of 3555 listings that do state pay — Engineering · all levels · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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bamboohr employer's own board first seen 12h ago · last seen 2h ago
The listing
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.