Senior Engineering Manager

TELUS Digital AI Data Solutions; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

TELUS Digital AI Data Solutions in Bengaluru seeks a seasoned engineering leader to grow and mentor a high-performing team spanning Developers, Data Engineers, and DevOps. You will foster ownership, continuous learning, and psychological safety while steering platform improvements and adoption of best practices across product teams.

You will drive hiring, onboarding, and performance management, ensuring clear expectations and outcomes.

Qualifications

• 10–15 years of industry experience building and operating cloud-based products or platforms.
• 4+ years leading engineering teams (people management).
• Hands-on with modern Data Engineering & DevOps practices: CI/CD pipelines, infrastructure-as-code, container orchestration (Kubernetes) or serverless, cloud platforms (AWS/Azure/GCP).
• Proven experience designing internal platforms/tools used by many product teams.
• Strong fundamentals in APIs, microservices, distributed systems, security basics; ability to review designs and code.

Responsibilities

• Manage and grow a high-performing team of engineers (Developers, Data Engineers, DevOps).
• Create a culture of ownership, learning, and psychological safety for platform improvements.
• Drive hiring, onboarding, and performance management with clear outcomes.
• Demonstrate ability to set direction and align stakeholders across multiple teams.

Skills

Team leadership

Cloud platforms

Data engineering

DevOps practices

CI/CD pipelines

Infrastructure as code

Kubernetes

Observability

APIs & microservices

Stakeholder management

Communication

Security basics

Tools

Kubernetes

Terraform

CI/CD tools

Job description

• 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 & Data Engineering Experience domains.
• Strong hands-on background with modern Data Engineering & DevOps practices: CI/CD pipelines, infrastructure-as-code, container orchestration (e.g., Kubernetes) or serverless, cloud platforms (AWS/Azure/GCP Preferred ), 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