Director of Engineering

TELUS Digital AI Data Solutions

Bengaluru

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+
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Job summary

A leading technology firm in Bengaluru is seeking a Director of Engineering to lead and build a high-performing team focused on delivering AI-powered products. You'll define the technical vision and architect scalable systems. Ideal candidates have over 12 years in software engineering, excellent leadership skills, and a strong architectural background. The role offers an engaging environment with significant responsibilities in enhancing product quality and reliability.

Qualifications

  • 12+ years in software engineering with 4+ years leading engineers.
  • Experience in managing complex, customer-facing systems.
  • Strong architectural judgment across various systems and technologies.
  • Excellent people leadership skills to build diverse teams.
  • Fluent in data engineering and data ops practices.

Responsibilities

  • Drive the end-to-end delivery of AI-powered products.
  • Define the technical vision and enterprise architecture.
  • Foster a culture of technical excellence and accountability.
  • Guide architectural choices and sponsor platform investments.
  • Establish strong practices for operational excellence.

Skills

Software engineering
Architectural judgment
People leadership
Data-driven planning
Communication skills
Hands-on technical skills

Tools

TensorFlow
Kubernetes
Python
Java

Job description

Direct message the job poster from TELUS Digital AI Data Solutions

The Mission:

As a Director of Engineering at Telus Digital, you will build and lead a high‑performing team that delivers customer‑loved products with exceptional quality, speed, and reliability. You will define the technical vision and provide enterprise‑level architectural guidance to ensure our platforms are scalable, secure, and seamlessly integrated with our business strategy.

What you will do
  • Own Delivery & Reliability: Drive the end‑to‑end delivery of AI‑powered products and features. Drive quarterly planning and execution, ensure commitments are met on time, and uphold high availability, low latency, and deliver measurable business value.
  • Define Enterprise Architecture: Partner with cross‑functional leadership to define the enterprise‑wide technical strategy for Telus Digital’s AI initiatives. Establish architectural standards, best practices, and governance frameworks to ensure consistency and quality across the organization.
  • Lead future Leaders: Hire, coach, and develop a high‑performing team of engineers, managers, and specialised technical talent. Foster a culture of technical excellence, accountability, and continuous learning to meet the evolving needs of the business.
  • Champion Engineering Excellence: Drive a culture of quality, velocity, and continuous improvement. Set and maintain high standards for code health, test coverage, and …
  • Shape Strategy with Product: Partner with product, research, and other critical stakeholder teams to translate strategic business goals into a focused roadmap. Make …
  • Raise the Technical Bar: Guide architectural choices, unblock critical designs, and sponsor platform investments that reduce cycle time and improve the overall developer experience.
  • Operational Excellence: Establish and enforce strong practices for on‑call support, incident response, change management, and post‑incident learning. Ensure that reliability and security are a shared responsibility for all team members.
  • Scale the Organization: Design the team topology for a growing AI division. Define clear interfaces between research, data, engineering and all critical teams to ensure a fluid and efficient workflow.
  • Budget and Vendor Stewardship: Own headcount plans and operating budgets. Evaluate buy vs. build decisions and manage relationships with strategic partners.
  • Strategic Agility: Be agile within an enterprise organization, and be ready to step up and evolve strategically to meet any evolving needs to grow the organization.
Qualifications
  • 12+ years in software engineering with 4+ years leading engineers and managers in multi‑team organizations.
  • Demonstrated experience in building, deploying, and managing complex, customer‑facing systems preferably powered by Ml/AI at scale.
  • Strong architectural judgment across a broad range of systems, data stores, APIs and modern full‑stack technologies, with a proven ability to design and govern large‑scale systems. You have experience defining and socializing architectural standards.
  • Strong technical background with the capability of being hands‑on if required and earning the respect and ability to mentor top individual technical talent.
  • Excellent people leadership skills, with a proven ability to set crisp goals, coach for performance, and build healthy, diverse teams.
  • A data‑driven approach to planning, trade‑offs, and process improvement.
  • Exceptional communication and interpersonal skills, with the ability to simplify complex concepts, negotiate effectively, and make clear decisions with executives and cross‑functional partners.
  • Fluency in delivery operations, including experience with on‑call, incidents, and change management.
  • Proven record of leading, mentoring, and scaling diverse teams of engineers from diverse top tier colleges and fortune top engineering companies.
  • Fluency with Data Engineering, Data Ops and Cloud practices, including data pipelines, feature stores, model training, versioning, and monitoring.
Nice to have
  • Direct experience with technologies such as TensorFlow, PyTorch, Kubernetes, Kubeflow, or MLOps platforms.
  • Experience with responsible AI practices and frameworks for fairness, privacy, and explainability.
  • Hands‑on background with one or more of our technologies: Java, Go, Python, Node, React, TypeScript, Kubernetes, Postgres, Kafka, Redis, BigQuery, Snowflake, Terraform.
  • Practical exposure to ML or LLM‑powered features, evaluation frameworks, and responsible AI practices.
Seniority level

Director

Employment type

Full‑time

Job function

Consulting, Design, and Product Management

Industries

IT Services and IT Consulting

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