Cloud Engineer

LanceSoft Inc; Toronto; On-site; CAD 110,000 - 150,000; Full time

Job summary

A leading company in Toronto is seeking a Cloud Engineer to manage and optimize Google Cloud Platform (GCP) solutions. The ideal candidate will possess extensive experience in GCP and DevOps practices, focusing on infrastructure management and automation to support data analytics initiatives. This role presents an opportunity to mentor junior engineers and deliver high-quality, reliable solutions while collaborating with various teams to enhance cloud services.

Qualifications

• 5+ years of experience managing public cloud platforms.
• Strong knowledge of Infrastructure as Code (Terraform).
• 10+ years in IT with a focus on scalability and security.

Responsibilities

• Manage GCP Cloud Infrastructure for bank-wide initiatives.
• Implement CI/CD processes using Terraform and Docker.
• Lead user acceptance testing for cloud solutions.

Skills

GCP

Terraform

DevOps

CI/CD

Python

Java

Go

Shell scripting

Education

University degree in Mathematics, Science, Engineering, Management, or relevant field

Tools

Docker

Hadoop

Kubernetes

Job description

Description:

• Business group: Platform and Data operations
• In partnership with the Customer Insights Data and Analytics teams and our IT partners, the Data and Analytics Technology team supports the bank's Data and Analytics needs with tooling, projects, and IT operational support.
• The Cloud Engineer role will be responsible for the Platform designing, building, monitoring, tuning, and troubleshooting bank-wide initiatives supported by Data and Analytics Technology. This consists of platform building, tooling, integration, process automation, platform enhancement, and delivery of new projects.

Responsibilities:

• Manage GCP Cloud Infrastructure: Design, build, and implement solutions around standard public cloud services like, Google Cloud Storage, BigQuery, Dataproc, Vertex AI Notebooks, Cloud Run, and Cloud Functions among others, Using Terraform Modules.
• Release Control Management: Maintain and enhance the Release Control Management pipeline using Terraform, Cloud build and GitHub Actions and Bitbucket/GitHub repositories.
• Client Pipeline Management: Implement CI/CD process by designing industry standard Cloud Build for deploying Infrastructure and analytics workloads using Terraform, Docker, Cloud build, GitHub Actions, Artifact registry and other build / deployment activities
• Credential Security: Setup Hashicorp Vault and Secret Manager for secret management. Integrate security solutions with client interfaces
• Client User Acceptance Testing: Lead clients in user acceptance testing for component and base image upgrades, ensuring smooth transitions and minimal disruptions.
• Advanced Monitoring and Troubleshooting: Troubleshoot and resolve performance issues to ensure optimal system performance.
• Vendor and Technical Support Interaction: Regularly meet with product vendors and technical support to fine-tune and troubleshoot software components, ensuring the highest level of system performance and reliability.
• Client Support: Assist tenants with troubleshooting their issues related to GCP and its services
• Mentorship: Mentor junior engineers in best practices for building, deploying, testing, and supporting services, fostering a culture of continuous learning and improvement.
• •Provision, configure, and manage Hadoop clusters within the Dataproc environment.
• •Optimize Dataproc cluster configurations for performance, cost-efficiency, and stability.

Candidate Requirements/Must Have Skills:

• 5+ years of experience in managing a public cloud platform for an enterprise on GCP, Azure or AWS with technical expertise in Foundational and Data services
• 3+ years of experience in using Infrastructure as Code tooling, like Terraform, to manage large-scale infrastructure platforms with strong knowledge of best practices for access control and least-privilege policy
• 5+ years of experience in DevOps, building CI/CD pipelines using GitHub, Artifactory etc. to reduce cycle times and ensure quality.
• 10+ years of IT experience in managing and developing applications or platforms, ensuring scalability, reliability, and security.
• 5+ years of experience in Languages like Python, Go, or Java & scripting skills in (shell scripting, Python, Perl, Ansible) to automate tasks, create scripts, and develop infrastructure as code.

Nice-To-Have Skills:

• 2+ years of experience in public cloud-managed services for Data and Analytics for data warehousing, data lakes, ETL services, machine learning or data governance and security
• •Experience in managing and administering Hadoop clusters (e.g., Cloudera, Dataproc, Hortonworks). strong understanding of the Hadoop ecosystem and its core components
• Certification in GCP (GCP Cloud Associate) is desirable.
• Experience with Docker/Container - including setting up and managing Docker registries as well as creating Docker files to create custom images. Should know about overlay networking needed for inter-container communications from different nodes as well as external servers/infrastructure
• Experience in setting up Kubernetes or similar platforms on-premises/cloud (On-prem Rancher experience is a plus)

Education & Certificates:

• A university degree in Mathematics, Science, Engineering, Management, or a relevant field.

Best VS. Average Candidate:
The ideal candidate brings hands-on experience coding with Terraform and deploying infrastructure directly into the Google Cloud Platform (GCP). Experience implementing solutions across AWS, Azure, or GCP is highly preferred. They are technically thorough, proactive, and self-motivated, with a strong sense of ownership and pride in delivering high-quality, reliable solutions. This candidate stands out by consistently going beyond the basics, demonstrating both depth of knowledge and a strong work ethic.