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Build complex applications for clients using React, Node.js, Python, Go, Java, or C# and deploy on GCP; mentor junior engineers and review code.
Qui nous sommes Bienvenue chez TELUS Digital — où l'innovation génère un impact à l'échelle mondiale. En tant que cabinet de conseil en produits numériques primé et division numérique de TELUS, l'un des…
Who We Are Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications…
Design enterprise-grade data science scenarios and evaluation rubrics for AI systems, focusing on Fortune 500 analytics workflows and tools like Snowflake, Databricks, and MLflow.
Build and maintain cloud-native .NET Core and React/Angular apps for fintech compliance and payments systems, integrating AI tools and DevSecOps practices.
Build and optimize Palantir Foundry data pipelines and ontology-driven datasets to power AI-driven decision support for enterprise clients.
Design and deploy enterprise-grade AI agents and ML systems using cloud-native tools (Azure AI Foundry, AWS Bedrock, Google Vertex) and open-source frameworks, ensuring reliability in regulated environments.
Predictive & Agentic AI Engineer Position Overview: Are you an accomplished AI practitioner with a passion for developing cutting-edge analytics, predictive machine learning, and multi-agent generative AI…
Senior Data Engineer builds and leads scalable GCP data platforms using Python, SQL, BigQuery, and Dataflow to architect pipelines and mentor teams.
Design and integrate GenAI/agentic AI solutions (RAG, MCP, workflows) with developer platforms and automotive middleware, using Python, LLM frameworks, and MLOps tooling.
Build and deploy production-grade ML models (forecasting, pricing, customer analytics) on GCP for a private-equity firm’s portfolio companies, owning end-to-end MLOps and raising team standards.
Lead technology roadmapping and technical diligence for Google’s clean-energy investments, evaluating advanced energy solutions like next-gen geothermal and long-duration storage.
Senior Data Engineer designs and builds scalable cloud data platforms (Medallion architecture) and ETL/ELT pipelines for enterprise BI and performance management projects using GCP tools like BigQuery, Dataflow, and Looker.
Build and maintain scalable data pipelines on Google Cloud, model BigQuery warehouses, and collaborate with ML teams to deploy models via Vertex AI.
Design and lead the modernization of Google’s Baseboard Management Controller software, owning Linux kernel and networking stack development for scalable, heterogeneous hardware platforms.
Designs and optimizes custom silicon for Google Cloud, focusing on performance, power, and area while collaborating with cross-functional hardware teams.
Build and maintain an Internal Developer Platform for a healthtech company, standardizing CI/CD, Kubernetes-based infrastructure, and developer tooling to accelerate product delivery.
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Build and maintain GCP-based data pipelines and infrastructure for a banking client, using BigQuery, Python, and MLOps practices to support data science teams.
Build and scale LLM-powered AI agents and RAG systems for a digital bank, focusing on secure, observable microservices and production-grade AI workflows.
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