Location
In office (Bengaluru)
Seniority
Senior · 10+ years exp
Overview
Company
Impact
Profile match
TELUS International AI-Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI training platform, handling all data types (text, images, audio, video, and geo) across 500+ languages and dialects.
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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