Job Description

Referral Level: Level 1

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 $76,500 -$98,000, 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).

How to Apply: Interested candidates are invited to submit their resume and a cover letter detailing their qualifications and experience to https://www.mackenzieinvestments.com/en/careers.

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 June 30 2026.

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