As a DevOps Engineer, you will design and optimize cloud infrastructure for machine learning operations, manage CI/CD pipelines, and ensure system reliability and compliance for AI workloads.
Dear applicant, please note that this role is for Canada-based candidates only.
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.
Top Skills
Ansible
BigQuery
Cloud Run
Datadog
Dataflow
Docker
Gke
Google Cloud Platform (Gcp)
Groovy
Jenkins
Kubernetes
Pub/Sub
Python
Shell
Terraform
Vertex Ai
Similar Jobs
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
As an Inside Sales Account Executive, you will convert inbound leads into customers, perform outbound prospecting, and manage the sales cycle from start to finish, working closely with other teams to ensure customer satisfaction and achieve revenue goals.
Top Skills:
Salesforce
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
The Inside Sales Account Executive will convert inbound leads into customers and engage in outbound prospecting, managing the full sales cycle while meeting revenue goals.
Top Skills:
Salesforce
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead the development of machine learning systems for fraud detection and risk modeling at scale, collaborating across teams and influencing ML strategy.
Top Skills:
AWSGCPMlflowModeMySQLNumpyPandasPysparkPythonPyTorchScikit-LearnSnowflakeTableauTensorflow/KerasXgboost
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
