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Full Stack Engineer

8090 Solutions - Redwood City, CA, United States - In-office

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Salary: USD 150,000 - 1,000,000 / annual

8090 Solutions, co-founded by Chamath Palihapitiya, is building a Software Factory that delivers fully-managed, hosted software purpose-built for enterprise customers. The company aims to simplify the bloated software ecosystem by reducing unnecessary complexity and inefficiency. You will join as a Full Stack Engineer responsible for building customer solutions using the Software Factory platform and contributing to the platform's development itself. This is a complete lifecycle role—you own development, testing, operation, maintenance, and support for the software you create. Key responsibilities include: - Building end-to-end customer solutions using Python, TypeScript, React, and AWS - Owning problems from conception to production, rapidly acquiring missing knowledge as needed - Collaborating within a dynamic, high-performing team that values engineering excellence, curiosity, bias for action, ownership, and radical candor - Communicating effectively with both internal teams and customer stakeholders to design and articulate well-engineered solutions to ambiguous problems - Leveraging AI tools to improve your own practices and team productivity ("building AI with AI") Required qualifications: - Extensive professional experience with full-stack web development (Python, TypeScript, React, data structures, AWS) - Strong systems thinking and ability to work end-to-end - Excellent verbal and written communication - Ability to thrive in a dynamic, intelligent team environment Preferred experience: - Deep expertise in data engineering, ML engineering, or data science (LLM integration, model fine-tuning, evaluations, AI/ML infrastructure at scale) - Professional DevOps, security, or cloud infrastructure experience (GitHub Actions, Docker, AWS CDK) The role is on-site in Redwood City, California or Toronto, Ontario, Canada. This is a customer-facing engineering position requiring strong soft skills and the ability to design solutions for complex, ambiguous problems.

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