DevOps Engineer

iCOUNTERBurnaby, BC
CA$110,000 - CA$145,000Hybrid

About The Position

We're looking for a mid-level DevOps Engineer to join our infrastructure team. You'll build and maintain the systems that power our applications and AI/ML workloads, working at the intersection of traditional infrastructure and emerging AI infrastructure. This is a hands-on role for someone who enjoys automation, reliability, and scaling systems that support data-intensive and GPU-accelerated workloads. This is a hybrid role requiring at least 3 days in office.

Requirements

  • 3+ years of DevOps, SRE, or infrastructure engineering experience
  • Proficiency with at least one major cloud provider (AWS, GCP, or Azure)
  • Strong experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi)
  • Hands-on experience with Docker and Kubernetes
  • Solid scripting skills (Python, Bash, or Go)
  • Experience building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, etc.)
  • Familiarity with monitoring/observability tools (Prometheus, Grafana, Datadog, etc.)
  • Strong understanding of Linux systems and networking fundamentals

Nice To Haves

  • Experience with GPU infrastructure and CUDA-enabled workloads
  • Exposure to ML pipeline and orchestration tools
  • Familiarity with model serving frameworks
  • Understanding of MLOps practices and model lifecycle management
  • Experience with distributed training or large-scale data processing
  • Exposure to vector databases or LLM application infrastructure

Responsibilities

  • Design, deploy, and maintain CI/CD pipelines for application and ML model deployment
  • Manage cloud infrastructure (AWS/GCP/Azure) using Infrastructure as Code
  • Support AI/ML infrastructure: GPU compute provisioning, model serving, and inference pipelines
  • Build and maintain containerized workloads using Docker and Kubernetes
  • Implement monitoring, logging, and alerting for system reliability and observability
  • Collaborate with ML engineers and data scientists to operationalize models (MLOps)
  • Automate infrastructure provisioning and configuration management
  • Participate in on-call rotation and incident response
  • Optimize infrastructure costs, particularly for compute-heavy AI workloads

Benefits

  • Completion of a Background Check is required for employment at iCOUNTER
  • iCOUNTER is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. iCOUNTERprovides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.
  • Accommodation: If you need accommodations, reach out to [email protected].
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