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Manager of Platform & Quality Engineering; TELUS Consumer Health

Job in Burnaby, BC, Canada
Listing for: Intello Technologies Inc.
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CAD Yearly CAD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Manager of Platform & Quality Engineering (TELUS Consumer Health)

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Manager of Platform & Quality Engineering (TELUS Consumer Health)

Location:

Toronto, ON, CA, M5J 2V5 Vancouver, BC, CA Edmonton, AB, CA Calgary, AB, CA

Jobs by Category:
Technology Solutions

Job Function:
Technology

Status:
Full Time

Schedule:

Regular

Description

About TELUS Consumer Health

At TELUS, we are at the forefront of transforming healthcare through innovative technology. Our Consumer Health team is on a mission to empower individuals to live healthier lives, driven by the goal to become the leading provider of integrated digital health solutions in Canada.

We are currently undergoing a fundamental transformation, shifting our focus from sustainability toward aggressive growth. Our diverse portfolio includes virtual primary care (TELUS Health MyCare), remote patient monitoring (Home Health Monitoring), senior care solutions (TELUS Health Medical Alert), and even pet health (TELUS Health MyPet). We are looking for leaders who are passionate about building scalable, resilient systems that have a tangible, positive impact on peoples' lives and who are excited to solve these large-scale technical challenges.

About the Role

The Manager of Platform Engineering will lead a high-performing team of Platform and Quality Engineers responsible for the design, development, and operation of our end-to-end cloud-native platform across AWS and GCP. This strategic leadership role requires balancing technical innovation with operational stability, driving a Dev Sec Ops  culture, and ensuring the highest standards of service reliability and quality engineering (QE) across all services.

The successful candidate will transition from individual output to maximizing impact through team growth, architectural guidance, and process optimization, specifically leveraging AI/ML techniques to drive proactive, predictive, and efficient platform operations.

Key Responsibilities

Platform Strategy & Architecture

  • Vision &

    Roadmap:

    Define the strategic vision, roadmap, and technical direction for the Internal Developer Platform (IDP), ensuring alignment with organizational goals for speed, reliability, and cost-efficiency
  • Cloud Governance:
    Own and manage the entire AWS/GCP infrastructure footprint, ensuring best practices in networking, security, account structure, and Fin Ops (cloud cost optimization), including leveraging AI-powered cost optimization tools for predictive spending and anomaly detection
  • System Design:
    Oversee the architectural design and implementation of core platform components, including Kubernetes clusters, service mesh (Istio), and API gateways (Kong), leveraging expertise in Infrastructure as Code (Terraform, Terragrunt) and containerization
  • Technology Evaluation:
    Actively stay current with new technologies in the Cloud Native (L4 Dev Ops) and SRE space, including AIOps, to drive continuous improvement and future-proof the platform

Service Reliability Engineering (SRE) & Operations

  • Reliability Ownership:
    Lead the implementation of SRE practices, including defining and monitoring key performance indicators (KPIs), Service Level Indicators (SLIs), and Service Level Objectives (SLOs) for critical platform services
  • Incident Management:
    Oversee the on-call rotation, drive efficiency in incident response processes, and ensure effective post-mortem analysis and preventative action implementation to improve system health (L3/L4 SRE), with a focus on leveraging AIOps for proactive failure prediction and intelligent alert correlation to reduce Mean Time To Detect (MTTD) and Mean Time To Respond (MTTR)
  • Observability:
    Drive the strategy for comprehensive observability (logging, metrics, tracing) using tools like Datadog/Prometheus/Grafana, integrating AI-driven insights to predict performance bottlenecks and detect operational anomalies before they impact users
Quality Engineering (QE) & Dev Sec Ops
  • Quality Integration:
    Integrate Quality Engineering principles ("shift-left testing") into the platform, ensuring automated testing and quality gates are built directly into the CI/CD pipelines (Git Hub Actions, FluxCD), exploring the use of AI-driven test case generation and optimization for enhanced coverage
  • Security & Compliance:
    Partner with the security team to enforce robust security practices and compliance requirements across the platform, pipelines, and application services (e.g., OWASP, Vault management), including the adoption of AI-enhanced security monitoring (Sec Ops) tools for threat pattern recognition and automated remediation
  • Automation:
    Champion automation initiatives across configuration, deployment, testing, and operational tasks to scale systems sustainably and eliminate toil (L3/L4 Dev Ops), using AI/ML to identify and automatically address common sources of toil

People Leadership and Team Development

  • Team Building and Growth:
    Build, lead, and scale a high-performing team of Platform and Quality Engineers, including hiring, onboarding, and retention. Conduct regular 1:1s focused on…
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