Senior Fullstack Engineer

Accountabilities:

• Partner with technical leadership and engineering teammates to prioritize, plan, and execute the product roadmap.
• Design, develop, test, deploy, and maintain complex software features and components across the full technology stack.
• Own engineering initiatives end to end, from technical design and implementation through delivery and ongoing improvement.
• Build robust, scalable, maintainable, and well-tested applications with a strong focus on software quality.
• Develop modern frontend experiences using React, TypeScript, and JavaScript.
• Build and maintain backend services and APIs using Node.js and related technologies.
• Work with application data and analytics using MongoDB and BigQuery.
• Deploy and manage applications and services in Google Cloud Platform (GCP).
• Contribute to automated testing strategies, CI/CD pipelines, and engineering processes that support reliable delivery.
• Help establish and evolve engineering best practices, technical standards, and development workflows as the organization grows.
• Collaborate closely with Design and Operations teams to translate business and user needs into effective product solutions.
• Contribute to multiple AI-focused product engineering initiatives and help identify opportunities to apply emerging AI capabilities.
• Participate in technical discussions, architectural decisions, code reviews, and continuous improvement initiatives.

Requirements:

• 5–10+ years of professional experience as a Fullstack Engineer or strongly frontend-focused Software Engineer.
• Strong proficiency with TypeScript and JavaScript across frontend and backend development.
• Hands-on experience building production-grade applications with React.
• Solid backend development experience with Node.js.
• Practical experience using MongoDB as an application database.
• Familiarity with BigQuery and querying large datasets for analytics or data-driven applications.
• Hands-on experience deploying and managing applications using Google Cloud Platform (GCP).
• Experience with automated testing, test frameworks, and CI/CD pipelines.
• Strong understanding of software engineering principles, scalable architecture, maintainable code, and quality-focused development practices.
• Excellent collaboration and communication skills, particularly when working with senior technical leaders and cross-functional stakeholders.
• Interest in AI-focused product development and the ability to contribute across multiple engineering workstreams.
• Ability to work effectively in a fully remote environment with a high degree of autonomy and ownership.
• Candidates must be based in Canada or the United States and able to work within an Americas-compatible remote environment.