Google Cloud Engineer

Job not on LinkedIn

🔥 22 minutes ago

🇨🇦 Canada – Remote

💵 $110k - $138k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Logo of TELUS Digital

TELUS Digital

201 - 500 employees

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

B2B • Artificial Intelligence • SaaS

TELUS Digital is an award-winning digital consultancy that combines human-centered design, software engineering, data science and generative AI to create AI‑fueled digital experiences and platforms for global brands. The company provides services in experience strategy, UX research and design, engineering and architecture, data science and engineering, digital marketing, and product/project delivery, and operates Fuel iX™, an enterprise-focused generative AI engine to help businesses move AI initiatives into production. TELUS Digital emphasizes a collaborative culture, global hiring, and accessibility in its hiring practices.

📋 Description

• Stay current on Google CES advancements, generative AI, and NLP trends to recommend and integrate new capabilities. • Contribute to the development of innovative solutions and accelerators on the Google CES platform. • Ensure delivery excellence and solution scalability by applying best practices and proven technical approaches. • Encourage a culture of innovation and continuous improvement within the team. • Lead the architecture and development of Google Cloud environments specifically optimized for Gemini Enterprise Customer Experience (GECX) deployments. • Design and implement secure integrations between GECX, Google Cloud AI services and external platforms. • Configure identity and access management (IAM) and secure service accounts to ensure governed access to GECX components.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Business, or related field; advanced degree is an asset. • 5+ years of experience in technology consulting, digital transformation, or customer experience, with a focus on AI/ML solutions. • Preferred: Active Google Cloud Professional Certifications such as Professional Cloud Architect, Professional Machine Learning Engineer, or Professional Data Engineer. • Practical expertise with Google Customer Engagement Services (formerly CCAI). • Proven success delivering AI/ML-powered customer engagement or contact center solutions. • Strong understanding of customer experience design, contact center operations, and key CX metrics. • Excellent communication and presentation skills for both executive and technical audiences.

🏖️ Benefits

• Offers Bonus • 15% Annual Performance Bonus

Apply Now

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