DevOps Engineer
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DevOps Engineer
110,000–145,000 / Year
Location
Burnaby, British Columbia, Canada (Hybrid)
Experience
Mid
Posted
Jul 11, 2026
Apply by
August 10, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
About iCOUNTER
iCOUNTER is building the future of cybersecurity.
Modern enterprises rely on thousands of third parties, suppliers, SaaS providers, contractors, and digital partners. At the same time, attackers have shifted their focus to these trusted relationships. Today, nearly half of reported breaches involve a third party, making the extended enterprise one of the largest attack surfaces in cybersecurity.
iCOUNTER is the first Risk Intelligence company built to help organizations identify, determine, and counter threats across their ecosystem. Our AI-native platform makes a Risk Determination at the point of intelligence collection, helping organizations understand what is real, what is relevant, and what requires action.
At the center of our platform is CTOS™, the Counter Threat Operating System. CTOS continuously monitors adversary activity, credential exposure, targeting behavior, and ecosystem risk across third and fourth parties. It then routes intelligence into action through automated workflows and managed operations.
If you want to help define the next era of cybersecurity and build technology that helps organizations stop monitoring threats and start countering them, we'dlove to meet you.
Position Overview
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.
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
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
Preferred Qualifications
- 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
Why Join iCOUNTER
This is a rare opportunity to help define a new cybersecurity category while working alongside industry pioneers, experienced operators, and world-class investors. You will have a direct impact on company strategy, market leadership, and the future of how organizations counter threats across their extended enterprise.
If you are energized by ambiguity, inspired by innovation, and excited to build something category-defining, we want to hear from you.
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 accommodations@icounter.com.
Key Responsibilities
- Design, deploy, and maintain CI/CD pipelines for application and ML model deployment
- Manage cloud infrastructure using Infrastructure as Code
- Support AI/ML infrastructure including GPU compute provisioning and model serving
- Build and maintain containerized workloads using Docker and Kubernetes
- Implement monitoring, logging, and alerting for system reliability
- Collaborate with ML engineers to operationalize models
- Automate infrastructure provisioning and configuration management
- Participate in on-call rotation and incident response
- Optimize infrastructure costs for compute-heavy AI workloads
Skills Required
AWSGCPAzureTerraformCloudFormationPulumiDockerKubernetesPythonBashGoGitLab CIGitHub ActionsJenkinsPrometheusGrafanaDatadogLinuxNetworkingCollaborationProblem solvingGPU InfrastructureCUDAML Pipeline OrchestrationModel Serving FrameworksMLOpsDistributed TrainingVector DatabasesLLM Application Infrastructure
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