Cloud Platform Engineer


Job Location:

Toronto - Canada

Monthly Salary: $ 105000 - 120000
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Job Description

Referral Level: Level 1

GM Financial Inc. is a leading wealth and asset management company in Canada managing approximately $310billion in assetsas of December 31 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and Mackenzie Investments.

Mackenzie Investments founded in 1967 is a key part of IGMs business model serving as a comprehensive asset-management partner for Canadian financial advisors and their clients.

At Mackenzie Investments You Can Build Your Career with Confidence.We are proud to be recognized as one of Canadas Top 100 Employers for the fourth consecutive year and one of Canadas Best Diversity Employers. Our vision and strategy aim to innovate the industry and support Canadians in achieving their financial goals.

Join our team to engage in continuous learning and skill development in a supportive environment.Experience the best of both worlds with our hybrid work environment where you spend three days a week in the office connecting collaborating and enjoying quality time with your amazing colleagues!Our Values: Be better;we strive for improvement in everything we do.Be accountable;we foster clarity and are empowered to act responsibly.Be a team;we are united to drive collective impact to achieve our goals.

The Role:Deliver secure reliable cloud solutions across Azure AWS and GCP. Build and evolve cloud platforms using Infrastructure as Code (Terraform) and automated delivery practices implementing architect-defined designs as well-formed backlog items. Partner with engineering security and platform teams to deliver scalable compliant services and provide L3 engineering support through root-cause analysis and backlog-driven remediation.

Area of Responsibility:

Maintain Daily/Weekly visibility and progress with Engineering team(s) of tasks and project deliverables

  • Manage cloud delivery work in Jira (epics/stories/tasks) with clear acceptance criteria and Definition of Done
  • Provide L3 engineering support by triaging escalations completing root-cause analysis and driving corrective work through the backlog (coordinate via ServiceNow as needed)
  • Surface blockers risks and dependencies (network identity security platform services) and coordinate resolution
  • Communicate delivery status through Scrum ceremonies and lightweight Jira reporting
  • Sequence deliverables to balance roadmap work security remediation and technical debt
  • Deliver cloud infrastructure changes using Terraform/IaC including peer review and controlled deployments
  • Maintain engineering visibility into platform health and release readiness (monitoring signals change windows rollback plans)
  • Support cloud CI/CD automation (e.g. GitHub Actions) by diagnosing failures and implementing fixes
  • Remediate cloud governance and security findings (policy violations misconfigurations) through backlog work

Receive and manage intake demand for Engineering teams:

  • Accept work primarily via Cloud Architect handoff; confirm scope assumptions and prerequisites
  • Maintain a groomed Jira backlog with Definition of Ready acceptance criteria and links to architecture decisions
  • Document dependencies (network identity security application teams) and track prerequisites in Jira
  • Support sprint planning by confirming capacity and sequencing work based on architect priorities
  • Provide estimates risks and assumptions to support architect-led roadmaps and release planning
  • Coordinate cross-team dependencies and handoffs to unblock delivery
  • Keep architects leads and partners informed on progress risks and delivery dates
  • Identify resource constraints and conflicts early and propose mitigation options
  • Contribute improvements to shared IaC modules templates and delivery pipelines
  • Share lessons learned and propose standards (naming/tagging security defaults reusable patterns)

Qualifications:

  • Post-secondary diploma/degree in Computer Science Engineering or a related field (or equivalent practical experience)
  • Must have 3-5 years of hands-on engineering experience delivering solutions in at least one major cloud (Azure AWS or GCP); multi-cloud exposure is an asset
  • Strong understanding of cloud security fundamentals (IAM/RBAC least privilege encryption secrets management) and secure-by-default patterns
  • Proven expertise with Infrastructure as Code using Terraform (modules state management code review practices)
  • Experience building and supporting CI/CD automation for infrastructure and cloud services (e.g. GitHub Actions) including testing and promotion between environments
  • Proficiency in at least one scripting/programming language (Python Go PowerShell or Bash) for automation integration and troubleshooting
  • Able to take architect-defined requirements and deliver high-quality implementations with minimal rework
  • Quality-first approach: peer review automation/testing where applicable and clear documentation (runbooks/change notes)
  • Continuous learning mindset to stay current on cloud services patterns and tooling
  • Experience in a technology delivery environment where funds/resources/time constraints create challenges to be balanced
  • Clear technical communication (design notes runbooks and change documentation)
  • Ability to communicate status risks and tradeoffs concisely in writing (Jira updates short summaries)
  • Collaborative working style with engineers architects security and platform partners
  • Relevant cloud certifications (e.g. Azure Administrator/Architect AWS Solutions Architect or Google Professional Cloud Architect)

Nice to Have Experience:

  • Experience with GitOps and modern version-control workflows (pull requests branching strategies code reviews)
  • Knowledge of cloud cost management and governance practices (tagging standards policy-as-code chargeback/showback concepts)
  • Familiarity with containers and orchestration (Docker Kubernetes) and/or cloud observability tooling (logging metrics tracing)

The expected annual base salary range for this role is $105000 -$120000 which is determined based on skills knowledge and experience and geographic addition to base salary this role is eligible for annual short-term incentive health and well-being benefits retirement and savings plan paid time off and career development.

Benefits:

  • COMPETITIVE COMPENSATION & RECOGNITION: competitive base salary performance-weighted bonus education/career support option to join Employee Share Purchase Plan with employer matching component.

  • EMPLOYEE BENEFITS & INSURANCE:competitive health and dental coverage flexible plan for you and your family and short-term & long-term disability plans.

  • RETIREMENT SAVINGS PROGRAMS: voluntary Defined Contribution Pension Plan

  • WORK LIFE BALANCE: paid volunteer days competitive time off including 10 wellness days off WorkPerks discount program hybrid & flex work arrangements.

  • INCLUSIVE CULTURE AND DIVERSITY: living our core values: Be a Team Be Accountable Be Better engaging with community through Business Resource Groups (BRG communities are volunteer employee-led groups formed around a common interest identity or background).

IGM is a diverse workplace committed to doing business inclusively - this starts with having a representative workforce! We encourage applications from all qualified candidates that represent the diversity present across Canada including racialized persons women Indigenous persons persons with disabilities 2SLGBTQIA community gender diverse and neurodiverse individuals as well as all who may contribute to the further diversification of ideas.

Mackenzie Investments is an accessible employer committed to providingbarrier-free recruitment experience. If you require accommodation or this information in an alternate format at any stage of the recruitment process please reach out to the Talent Acquisition team who will work with you to meet your needs.

How to Apply:Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to Intelligence in Recruitment:As part of our Talent Acquisition process we may use artificial intelligence and automated tools to support activities such as candidate sourcing application review and interview scheduling.These tools support the recruitment process; all hiring decisions are made by people.

We thank all applicants for their interest in Mackenzie Investments; however only those candidates selected for an interview will be contacted.

Please apply by June 30 2026.

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Required Experience:

IC

Job DescriptionReferral Level: Level 1GM Financial Inc. is a leading wealth and asset management company in Canada managing approximately $310billion in assetsas of December 31 2025. It offers financial planning and investment services to over two million Canadians through IG Wealth Management and M...