3 months ago
Vancouver, CanadaMid Level / Senior
Responsibilities
- Support the infrastructure roadmap across DevOps and MLOps in partnership with engineering, data, ML, and product teams.
- Build and manage infrastructure for reliable production ML model deployment using CI/CD pipelines, APIs, and workflow orchestration tools.
- Automate model training, registry, validation, deployment, rollback, experiment tracking, and reproducible training workflows.
- Operate AWS and GCP training and inference infrastructure, BigQuery datasets, GPU workloads, Kubernetes clusters, and SageMaker environments.
- Monitor model performance, latency, data drift, resource usage, infrastructure reliability, and operational performance.
- Manage infrastructure as code with Terraform or CloudFormation and improve GitOps, deployment, observability, security, and automation practices.
- Create documentation, runbooks, alerting, incident reviews, and troubleshooting processes that help Product and Data teams operate systems independently.
- Evaluate cloud-native, DevOps, data infrastructure, and MLOps tools and recommend improvements to reliability, scalability, cost, and delivery speed.
Requirements
- 2–5 years of hands-on DevOps or cloud engineering experience in production environments.
- Expertise with Kubernetes, including EKS, Helm, and microservices.
- 1–2 years of AWS and Amazon SageMaker experience.
- 1–2 years of experience creating data pipelines.
- 1–2 years of experience with LLM deployments on Kubernetes.
- 1–2 years of experience with Kubernetes clusters using GPU-enabled nodes.
- Proven experience using Terraform for scalable, auditable infrastructure as code.
- Collaborative, solution-oriented approach with a passion for automation and continuous improvement.
Benefits
- Hybrid work arrangement, indicated by #LI-Hybrid.
- Fully remote candidates may be considered for select positions.
- Eligible permanent team members can participate in various benefits plans.
- Office locations include Boston, Vancouver, Chicago, and Vancouver, WA.
Tech Stack
Apache AirflowAWSFlaskGoogle BigQueryGoogle Cloud PlatformGrafanaHelmKubernetesMLflowPostmanPrometheusTerraform
Categories
About Later
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