Senior Cloud AI Software Developer

2 days ago

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TELUS

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At TELUS, our purpose-driven team works together every day to innovate and do good. From providing technology solutions that make our lives safer and easier, to supporting those who need it most, our inclusive, spirited and giving people are passionate about empowering our customers, communities and each other to thrive in our digital world.

National telecommunications company in Canada

10,000+ employees

📋 Description

• Senior Cloud AI Software Engineer with deep expertise in Google Cloud Platform (GCP) • Architecting, developing, and deploying advanced Cloud and AI solutions using GCP services • Collaborating with cross-functional teams to design and implement scalable, end-to-end AI models • Leveraging Google Gemini and other Google Generative AI tools to build innovative solutions • Integrating AI solutions into production environments for scalability, security, and performance • Leading projects involving large language models • Mentoring other team members in AI/ML development best practices

🎯 Requirements

• Bachelor's in Computer Science, Data Science, Engineering, or related field • 3+ years in AI development and 5+ years in GCP or any other cloud platform • GCP certifications (ML Engineer, Data Engineer, Cloud Engineer) • AI Ethics and Responsible AI practices • Generative AI: Google state-of-the-art models, LLM deployment, fine-tuning, and prompt engineering • GCP Services: Vertex AI, Dataflow, Dataproc, Composer, Cloud SQL, Kubernetes, Cloud Functions, Pub/Sub • Model Deployment: RAG implementation, API integration • Development: Python, JavaScript, Java, OpenAPI standards • DevOps: CI/CD (GitHub Actions, Cloud Build, Deploy), Terraform, SRE practices • Deployment Patterns: Blue-green, canary • Leadership skill : GCP/AI project management, and team mentoring • Problem-solving and analytical thinking • Technical communication with stakeholders • Cross-functional team collaboration • Great-to-haves: Demonstrated knowledge of DevOps methodologies and Site Reliability Engineering (SRE) practices • Extensive hands-on experience with Google Cloud Platform, particularly with Google Kubernetes Engine (GKE) • Deep expertise across Google Cloud products, including Cloud Storage, Pub/Sub, Filestore, Cloud Scheduler, cloud function, Google Monitoring/Alerts, Compute Engine, Dataflow • Working knowledge of Generative AI technologies and experience building API integrations with various Large Language Models (LLMs) • Understanding of the Telecommunications Industry • Familiarity with 3GPP standards • Knowledge of network technologies supporting 5G

🏖️ Benefits

• Comprehensive total rewards package highlighting competitive salary and bonus structures • Minimum 3 weeks of vacation • Flexible benefits plan to meet the needs of you and your family • Flexibility to work in-office, virtually or a combination of both, based on the role's requirements • Generous company matched pension and share purchase programs • Opportunity to give back to communities in which we work, live and serve • Career growth and learning & development opportunities to develop your skills • And much more ...