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TELUS Digital - Senior Engineering Manager - DevOps

TELUS Digital
10 - 15 Years
Bangalore

Posted on: 30/09/2026

Job Description

People & Team Leadership :

- 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.

Required Qualifications :

- 10 - 15 years of industry experience building and operating cloud-based products or platforms.

- 4+ years of experience leading engineering teams (people management, not just tech lead), ideally in Developer & 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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