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Mackenzie Investments
Cloud Platform EngineerMackenzie Investments • Toronto, ON, Canada
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Cloud Platform Engineer

Cloud Platform Engineer

Mackenzie Investments • Toronto, ON, Canada
30+ days ago
Salary
CA$105,000.00 yearly
Job type
  • Full-time
Job description

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 IGM's 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 Canada’s Top 100 Employers for the fourth consecutive year and one of Canada’s 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 $105,000 -$120,000 which is determined based on skills, knowledge and experience and geographic location. In 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 providing barrier‑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.

Artificial 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 August 17 2026.

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Cloud Platform Engineer • Toronto, ON, Canada

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