About the jobThe Mission:As a Director of Engineering at Telus Digital, you will build and lead a high-performing team thatdelivers customer-loved products with exceptional quality, speed, and reliability. You will definethe technical vision and provide enterprise-level architectural guidance to ensure our platformsare scalable, secure, and seamlessly integrated with our business strategy.What you will doOwn Delivery & Reliability: Drive the end-to-end delivery of AI-powered products andfeatures. 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 theenterprise-wide technical strategy for Telus Digital's AI initiatives. Establish architecturalstandards, best practices, and governance frameworks to ensure consistency andquality across the organization.Lead future Leaders: Hire, coach, and develop a high-performing team ofEngineers,Managers, and specialised technical talent. Foster a culture of technicalexcellence, accountability, and continuous learning to meet the evolving needs of thebusiness.Champion Engineering Excellence: Drive a culture of quality, velocity, and continuousimprovement. Set and maintain high standards for code health, test coverage, anddeveloper experience to ensure sustainable development.Shape Strategy with Product: Partner with Product , Research and other criticalstakeholder teams to translate strategic business goals into a focused roadmap. Makedata-driven decisionsRaise the Technical Bar: Guide architectural choices, unblock critical designs, andsponsor platform investments that reduce cycle time and improve the overall developerexperience.Operational Excellence: Establish and enforce strong practices for on-call support,incident response, change management, and post-incident learning. Ensure thatreliability and security are a shared responsibility for all team members.Scale the Organization: Design the team topology for a growing AI division. Defineclear interfaces between research, data, engineering and all critical teams to ensure afluid and efficient workflow.Budget and Vendor Stewardship: Own headcount plans and operating budgets.Evaluate buy vs. build decisions and manage relationships with strategic partnersStrategic Agility: Be agile within an enterprise organization, and be ready to step upand evolve strategically to meet any evolving needs to grow the organization.Qualifications:12+ years in software engineering with 4+ years leading engineers and managers inmulti-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 andmodern full stack technologies, with a proven ability to design and govern large-scalesystems. You have experience defining and socializing architectural standards.Strong technical background with the capability of being hands-on if required andearning the respect and ability to mentor top individual technical talent.Excellent people leadership skills, with a proven ability to set crisp goals, coach forperformance, 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 complexconcepts, negotiate effectively, and make clear decisions with executives andcross-functional partners.Fluency in delivery operations, including experience with on-call, incidents, and changemanagement.Proven record of leading, mentoring, and scaling diverse teams of engineers fromdiverse top tier colleges and fortune top engineering companiesFluency with Data Engineering, Data Ops and Cloud practices, including data pipelines,feature stores, model training, versioning, and monitoring.Nice to haveDirect experience with technologies like TensorFlow, PyTorch, Kubernetes, Kubeflow, orMLOps platforms.Experience with responsible AI practices and frameworks for fairness, privacy, andexplainability.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, andresponsible AI practices.About us:
Job Title
Director of Engineering