DevOps Engineer

Later
Vancouver
Workplace: HybridFull timeCAD 120,000 - 140,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 2-5 yearsSkills: ["Communication","Collaboration","Automation","Problem-solving"]

DevOps Engineer to scale Later’s cloud infrastructure and DevOps/MLOps practices. You’ll collaborate with engineering, data science, and product teams to build reliable, secure, and automated infrastructure, manage ML workflows, and drive GitOps, CI/CD, and IaC initiatives across AWS, GCP, and Kubernetes environments.

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FursaFursa
Later
Later
4 months ago

DevOps Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

DevOps Engineer to scale Later’s cloud infrastructure and DevOps/MLOps practices. You’ll collaborate with engineering, data science, and product teams to build reliable, secure, and automated infrastructure, manage ML workflows, and drive GitOps, CI/CD, and IaC initiatives across AWS, GCP, and Kubernetes environments.
Location: Vancouver
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Help develop and execute the infrastructure roadmap across DevOps and MLOps, aligned with product and data/AI growth plans.
  • •Build and manage infrastructure to deploy ML models into production reliably using CI/CD pipelines, Flask-based APIs, and orchestration tools.
  • •Design and maintain tools and systems to support model versioning, experiment tracking, and reproducible training workflows.
  • •Collaborate with Data Scientists, Analysts, Platform Engineers, and Product Engineers to support end-to-end ML workflows.
  • •Improve deployment pipelines, GitOps practices, and automation to enhance reliability, scalability, and developer experience.

Pay and Benefits

Salary: CAD 120,000 - 140,000 annually

Key Requirements

  • •2–5 years of hands-on DevOps or cloud engineering experience in production environments.
  • •Expertise with Kubernetes (EKS), Helm, and microservices.
  • •1-2 years AWS and SageMaker Experience.
  • •1-2 years creating data pipelines.
  • •1-2 years with LLM deployments on Kubernetes and GPU-enabled clusters; Terraform for infrastructure as code.
Experience:2-5 yearsSaaSMarketing techAdvertising
Skills:CommunicationCollaborationAutomationProblem-solving
Languages:English
Tech Stack:AWSSageMakerKubernetesEKSTerraformCI/CDGCPBigQueryGPUAirflowKubeflowArgo WorkflowsPrometheusGrafanaCloudWatchMLflowSageMaker Studio NotebooksFlask

Company Brief

Later
Provides a visual social media planning, scheduling, and analytics platform that helps brands, creators, and agencies manage Instagram, TikTok, and other social channels. Offers content calendar, media library, and performance insights to streamline social publishing workflows.
Industry: SaaS
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Vancouver, Canada
Founded: 2014
Website