DevOps Engineer - GCP at Apptoza Inc
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

09 Nov, 25

Salary

0.0

Posted On

10 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Design, Access Control, Infrastructure, Load Balancing, Code, Cloud Storage, Processing, Docker, Operational Efficiency, Software Engineers, Bigtable

Industry

Information Technology/IT

Description

DESIRABLE SKILLS:

  • Proficiency in deploying, managing, and scaling containerized applications using Cloud Build.
  • Design and manage containerized applications using Docker.
  • Maintain Docker images and manage versions.
  • Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.
  • Implement and maintain CI/CD pipelines, integrating automated testing and deployment procedures to accelerate software delivery.
  • Familiarity with service mesh technologies like Istio for managing microservices communication, traffic routing, load balancing within Kubernetes clusters.
  • Strong understanding of Google cloud platform services and tools, with hands-on experience in deploying and managing workloads on GCP, including familiarity with GKE for Kubernetes orchestration.
  • Proficiency in utilizing GCP’s storage services like Cloud Storage, Cloud SQL, Bigtable and BigQuery for storing and processing data at scale.
  • Familiarity with GCP’s serverless offering like Cloud Functions and Cloud Run for building and deploying event driven and scalable applications.
  • Experience in configuring IAM roles and permission on GCP, ensuring proper access control across various services and resources.
  • Good experience in infrastructure as code (IaC) using terraform to automate the provisioning, configuration, and management of cloud resources on GCP, ensuring infrastructure is versioned, reproducible, and scalable.
  • Could automate the infrastructure provisioning and management tasks using Terraform, creating reusable modules and templates to streamline deployment processes and improve operational efficiency.
  • Proficiency in deploying, managing, and scaling containerized applications using Cloud Build.
  • Design and manage containerized applications using Docker.
  • Maintain Docker images and manage versions.
  • Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.
  • Implement and maintain CI/CD pipelines, integrating automated testing and deployment procedures to accelerate software delivery.
  • Familiarity with service mesh technologies like Istio for managing microservices communication, traffic routing, load balancing within Kubernetes clusters.
  • Strong understanding of Google cloud platform services and tools, with hands-on experience in deploying and managing workloads on GCP, including familiarity with GKE for Kubernetes orchestration.
  • Proficiency in utilizing GCP’s storage services like Cloud Storage, Cloud SQL, Bigtable and BigQuery for storing and processing data at scale.
  • Familiarity with GCP’s serverless offering like Cloud Functions and Cloud Run for building and deploying event driven and scalable applications.
  • Experience in configuring IAM roles and permission on GCP, ensuring proper access control across various services and resources.
  • Good experience in infrastructure as code (IaC) using terraform to automate the provisioning, configuration, and management of cloud resources on GCP, ensuring infrastructure is versioned, reproducible, and scalable.
  • Could automate the infrastructure provisioning and management tasks using Terraform, creating reusable modules and templates to streamline deployment processes and improve operational efficiency.
    Job Type: Fixed term contract
    Work Location: In perso
Responsibilities

Please refer the Job description for details

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