Cloud Engineer Vancouver

As a Cloud Engineer at Noise, you will play a crucial role on the Analytics team, focusing on the optimization, maintenance, and execution of medium‑complexity cloud‑based data and analytics solutions. You will work within the Google Cloud Platform (GCP) infrastructure, contributing to the development and operational stability of systems, particularly those involving Machine Learning (ML) and Large Language Models (LLMs). You will execute defined tasks with a high degree of independence and support the wider team in maintaining engineering excellence.

What you’ll do

• Solution Execution : Implement, optimize, and maintain robust cloud‑based solutions for data analytics and insights based on established architectural patterns.
• ML / LLM Support : Execute defined tasks related to the deployment, maintenance, and scaling of software solutions utilizing ML models and LLMs within the GCP infrastructure.
• Infrastructure Maintenance : Develop and maintain essential cloud infrastructure components, ensuring operational efficiency, reliability, and adherence to security best practices.
• Automation & Scripting : Contribute to the development of automation scripts and use basic Infrastructure‑as‑Code (IaC) tools to streamline deployment and management processes.
• Troubleshooting & Optimization : Proactively monitor system performance, diagnose issues, and execute optimization strategies for existing cloud services and data pipelines.

Technical Collaboration & Design Support

Team & Education

What you’ll need to bring

Working Conditions

This position operates under a hybrid work model. Employees are currently required to work from the office once per week to foster team collaboration and culture. While the role primarily allows for work‑from‑home arrangements, the required in‑office frequency is subject to change based on evolving company and departmental needs.

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