Full Stack Engineer

8090 Solutions Inc•Toronto, ON

8d•Onsite

About The Position

The Software Industrial Complex has evolved into a bloated, expensive ecosystem that burdens enterprises with unnecessary complexity and inefficiency. Co-founded and led by Chamath Palihapitiya, we are building a Software Factory that delivers fully-managed and hosted software purpose-built for each customer. We seek an exceptional, full-stack software developer with high technical competency and intellectual curiosity to join our team. To succeed, you must enjoy thinking in systems and additionally possess some combination, but not all, of DevOps, data engineering, or ML/data science work experience at scale. Most engineering roles at 8090 are customer-facing, and you must have the soft skills to design and articulate well-engineered solutions to ambiguous problems. This is an on-site role based in Redwood City, California.

Requirements

Expertise in and extensive professional experience with full-stack web development is a must – we use Python, Typescript, React, Data Structures, and AWS
Owning problems end-to-end and are willing to pick up whatever knowledge you're missing fast to get the job done
Ability to work effectively within a highly dynamic and intelligent team by maintaining the values that 8090 was founded on: engineering excellence, insatiable curiosity, a bias for action, ownership, agency, honesty, and radical candor
Excellent verbal and written communication abilities to collaborate and convey ideas effectively internally and to customer stakeholders

Nice To Haves

Deep expertise in data engineering, ML engineering, or data science. Examples are integrating LLMs into products, fine-tuning models, creating evaluations, or hosting AI/ML infrastructure at scale
Professional work experience in DevOps, security, and cloud infrastructure – We use GitHub Actions, Docker, and AWS CDK extensively

Responsibilities

Build customer solutions with Software Factory and help develop parts of our Software Factory itself.
Responsible for the complete lifecycle of the software they create, including development, testing, operation, maintenance, and support.
Constantly challenge yourself on which software paradigms are evolving with advances in AI and how you can best leverage AI tools to improve your own practices and the team’s productivity.