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Artificial Intelligence, Software, Data Management, Enterprise Software

Cloud Engineer

Toronto, Ontario, CanadaHybridContractPosted 2 months ago

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Role summary

This is a 6-month contract role for a Cloud Engineer in Toronto, with a possibility of extension and conversion to full-time. The role involves technical ownership and leadership of enterprise cloud products, focusing on design, implementation, and ongoing operations. Key responsibilities include designing and refactoring code, participating in discussions on scalability and best practices, ensuring high availability and reliability, and developing strategies for deploying, monitoring, and administering cloud applications. The engineer will also write Terraform modules for infrastructure deployment and management. The ideal candidate possesses advanced experience in IaC (Terraform), GCP/Kubernetes networking, and cloud development across major platforms.

Location Address: Hybrid - Downtown Toronto – 1 days/week (Wednesdays– subject to change)

Contract Duration: May to Oct 2026 – approx. 6 months – with possibility of extension and conversion to FTE

Number of Positions: 1

Schedule Hours: 9am-5pm Monday-Friday; standard 37.5 hrs/week

Reason: Additional Workload

Typical Day in Role:

• Technical ownership/leadership of enterprise cloud product(s) or a complex part of a larger product including the design, software, and processes necessary for ongoing operations.

• Designing, implementing, and refactoring code.

• Participating in design discussions focused on scalability, design, and implementation best practices.

• Ensuring software, programs, and applications are developed and/or configured to meet high availability, integrity, and reliability requirements.

• Working with other lead engineers and architects on designing solutions and breaking-down, scoping, and estimating tasks.

• Design strategies and tools to deploy, monitor, and administer Cloud applications and the underlying services for Cloud.

• Participate in planning and retrospective sessions, attending stand-ups, etc.

• Our teams are flexible and fast, requiring daily peer review and quality control.

• Infrastructure on a legacy pipeline – writing terraform modules to redploy and deploy those objects using Terraform

Candidate Requirements/Must Have Skills:

1) 4+ years’ advanced experience with IaC: Terraform with strong experience in building reusable modules following best practices

2) 8+ years of relevant experience as a cloud engineer / software engineer / systems engineer

3) 3+ years GCP and Kubernetes networking model - to be able to troubleshoot networking problems, setup firewall rules, and understand traffic flows.

4) 5+ years’ proven experience in cloud development (Google GCP, Microsoft Azure, AWS) with domain expertise in cloud platform features and capabilities

5) Experience with design for scalable, enterprise-level software systems (both on code and infrastructure levels).

Nice-To-Have Skills:

1) Working knowledge of the Argo Suite (ArgoCD, ArgoWF, ArgoRollouts) and HashiCorp Vault/ExternalSecret Operator

2) Experience with OPA Gatekeeper is a plus.

3) Knowledge of VPC-SC in GCP and other security control mechanisms is a plus.

4) Knowledge of /experience with any or all of the following will be an asset:

  • Cloud Infrastructure architecture
  • Security
  • Software design patterns

5) Experience in delivering enterprise systems, collaborating and driving solutions with multiple teams across the organization.

6) Experience with migration projects

7) Experience building enterprise Kubernetes platforms

Best VS. Average Candidate:

Someone who knows what they are doing and come in and execute with minimal hand holding;

Ideal candidate has deep expertise in Terraform, has worked with Kubernetes; if they have done a migration project that will be an asset, a nice to have would be experience building enterprise Kubernetes platforms

Candidate Review & Selection

2 rounds – 1 hour – MS Teams Video for 1st round, 2nd in person

1st with HM – culture/team fit

2nd technical panel interview with technical team – technical scenario-based questions, coding questions through codility shared live in the interview

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