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TELUS International

Posted 27 Aug 2026

Senior Engineering Manager

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Employment
Full time
Team
Software Engineering
Posted
27 Aug 2026

About the role

Responsibilities:

  • Manage and grow a high-performing team of engineers (Developers, Data Engineers, DevOps), providing regular 1:1s, coaching, feedback, and career development.
  • Create a culture of ownership, learning, and psychological safety where engineers feel empowered to improve the platform and challenge the status quo.
  • Drive hiring, onboarding, and performance management for the team, setting clear expectations and outcomes.


Requirements:

  • 10-15 years of industry experience building and operating cloud-based products or platforms.
  • 2-4+ years of experience leading engineering teams (people management, not just tech lead), ideally in Developer and DE Experience domains.
  • Strong hands-on background with modern DevOps practices: CI/CD pipelines, infrastructure-as-code, container orchestration (e. g., Kubernetes) or serverless, cloud platforms (AWS/Azure/GCP), and observability stacks.
  • Proven experience designing or evolving internal platforms/tools used by many product teams (e. g., deployment platforms, service templates, shared libraries, internal CLIs).
  • Solid understanding of software engineering fundamentals (APIs, microservices, distributed systems, security basics) and ability to review designs and code at a high level.
  • Demonstrated ability to set direction, manage stakeholders, and drive alignment across multiple teams and functions.
  • Excellent communication skills, with the ability to translate technical trade-offs into clear options for engineering and business stakeholders.


Nice-to-Have:

  • Experience in a Staff/Principal Engineer or Tech Lead role before moving into management.
  • Prior work in Developer Productivity/Enablement, Platform Engineering.
  • Exposure to policies and tooling around SDLC governance, security controls, and compliance (e. g., audit trails, approvals, policy-as-code).
  • Experience with data platforms or analytics pipelines supporting engineering metrics and observability.

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