Cloud Solution Engineer

Requirements

Description and Requirements

• Designing, deploying, and maintaining cloud infrastructure.
• Monitoring cloud resources for performance and cost optimization.
• Troubleshooting and resolving cloud-related issues.
• Develop, implement, and maintain configuration of underlying cloud services, including but not limited to AWS, Cloudfront, S3, SNS, and SQS.
• Administer existing and deploy new AWS EC2 instances, and related infrastructure.
• Data Transfer Techniques within AWS accounts, regions or from other cloud platforms.
• Analyze security threats and applicability to customer environments
• Triage and resolve technical and user issues
• Collaborating with cross-functional teams to implement cloud solutions.
• Ensuring compliance with security and data protection policies.
  
  
  

Additional Job Description

Required Skills for Cloud Engineers:

• Must have 3-5 years of experience.
• Proficiency in cloud platforms such as AWS, Microsoft Azure, or Google Cloud.
• Scripting and automation skills (e.g., Python, PowerShell).
• Strong problem-solving abilities.
• Excellent communication and teamwork skills.
• A commitment to continuous learning and adaptability.
  
  
  

EEO Statement

TELUS Digital (TD) Experience partners with the world’s most innovative brands, from tech startups to industry leaders in fintech, gaming, healthcare, and more. We empower businesses

to scale and redefine possibilities with integrated customer experience and cutting-edge digital solutions.

Backed by TELUS, our multi-billion-dollar parent company, we offer scalable, multi-language, and multi-shore capabilities. Our expertise spans digital transformation, AI-driven consulting, IT

lifecycle management, and more – delivered with secure infrastructure, value-driven pricing, and exceptional service.

AI Data Solutions: Shaping the Future of AI

For nearly two decades, TELUS Digital AI Data Solutions has been a global leader in providing premium data services for the ever-evolving AI ecosystem. From machine learning to computer vision and Generative AI (GenAI), we empower the next generation of AI-powered experiences with high-quality data and human intelligence to test, train, and improve AI models.

Backed by a community of over one million contributors and proprietary AI-driven tools, we deliver solutions designed to cover the training data needs of every project. From custom data

collection to advanced data annotation and fine-tuning, our purpose-built tools deliver multimodal data for AI training projects of any complexity – from experimental pilots to ambitious large-scale programs. Examples include empowering GenAI models with human-aligned datasets and fine-tuning data across 20+ domains and 100+ languages, enabling autonomous driving, and advancing extended reality applications with industry-leading data labeling.

Join us to be part of an innovative team shaping the future of AI and driving digital transformation to new heights!