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About the Role

Accelerate cloud adoption by building hardened, ready-to-go patterns on Google Cloud Platform. Embed security, reliability, operational excellence, and cost efficiency as immutable guardrails within cloud-native solutions. Collaborate across the organization to share information, evolve governance controls, and simplify work processes. Our team includes machine learning engineers, data engineers, developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI innovation across the organization.

Responsibilities

Design, implement, and maintain robust applications and infrastructure to support the development and deployment of cutting-edge generative AI and machine learning tools for TELUS
Evaluate and compare different technical approaches, presenting their trade-offs to the team, to guide architectural decisions for AI projects
Design and develop tools, components and processes to support public cloud service intake, CI/CD, and security
Lead proof of concept efforts for candidate architectures, products and tools
Adopt and communicate new concepts, ideas, techniques, best practices and technology assistance at all organizational levels
Assist in the remediation of application stability and performance
Work to establish required cloud infrastructures and frameworks

Requirements

Extensive experience with Google Cloud Platform (GCP), or another cloud provider, including application hosting, BigQuery, and serverless computing with tools such as Cloud Functions and Cloud Run
Knowledge of cloud security principles and frameworks, as well as hands-on experience with modern DevOps concepts and workflows
Strong backend development expertise, particularly in building and integrating REST APIs with frameworks like FastAPI
Practical experience in Python development, especially in data-driven environments and for building scalable applications
Experience with cloud-native technologies such as Docker, Kubernetes, and Terraform for container orchestration and infrastructure as code
Familiarity with CI/CD best practices, using tools such as GitHub Actions for managing workflows and Cloud Build to automate deployments and maintain reliability
Solid understanding of monitoring, alerting, and logging solutions within cloud-native ecosystems
Confident in communicating complex technical ideas to diverse audiences, including developers, business stakeholders, and senior leadership
Development experience with Python and/or JavaScript/Typescript
Keeps up with the latest advancements in ML and GenAI technology and is excited to explore new techniques and technologies
Advanced expertise with GCP services, particularly Google Kubernetes Engine (GKE) and BigQuery optimization
Familiarity with frontend frameworks like React.js for building full-stack applications
Background in using Python for data engineering, machine learning, or generative AI workflow
Advanced knowledge of English is required

Skills

Google Cloud Platform (GCP)
Application hosting
BigQuery
Serverless computing
Cloud Functions
Cloud Run
Cloud security
DevOps
Backend development
REST APIs
FastAPI
Python development
Scalable applications
Docker
Kubernetes
Terraform
CI/CD
GitHub Actions
Cloud Build
Monitoring
Alerting
Logging
JavaScript/Typescript
ML
GenAI
Google Kubernetes Engine (GKE)
React.js
Data engineering

Location

Remote

Work Type

Full-time

Experience Level

Extensive experience
Advanced expertise

About the Company

Join a team of passionate technical leaders.
Our team includes machine learning engineers, data engineers, developers, and technical architects with diverse technical backgrounds to ensure successful public cloud project outcomes that drive AI innovation across the organization.