Later

2 months ago

DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 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

Loading job details...

Preparing the role view and application actions.

Later

2 months ago

DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

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

Industry: SaaS

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: Vancouver, Canada

Founded: 2014

Website