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Director Of Engineering

Director Of Engineering

TELUS Digital AI Data SolutionsSāngli, Republic Of India, IN
2 hours ago
Job description

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

    developer experience to ensure sustainable development.

  • Shape Strategy with Product : Partner with Product, Research and other critical

    • stakeholder teams to translate strategic business goals into a focused roadmap. Make

    data-driven decisions

  • 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, API 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 like 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 or Snowflake,

    • Terraform.

  • Practical exposure to ML or LLM-powered features, evaluation frameworks, and

    • responsible AI practices.

    About us : https : / / drive.Google.Com / file / d / 1Cq1cmk-ND-MDZVZcBdpIyhd5PfQOdQK- / view?usp=drive_link

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    Director Engineering • Sāngli, Republic Of India, IN