Job description

About 8090 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. About the Role 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. Note: If it’s been more than 6 months since your last application, we’d love to invite you to apply again. Location This is an on-site role based in Redwood City, California or Toronto, Ontario, Canada. Responsibilities You will build customer solutions with Software Factory and help develop parts of our Software Factory itself. Our software engineers are responsible for the complete lifecycle of the software they create, including development, testing, operation, maintenance, and support. As a member of our technical staff, you must 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. We call this building AI with AI. Required Skills • 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 What Sets a Candidate Apart • 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. We’d love to hear from you: Tell us about the most exceptional product you’ve built. What made it stand out, and what were the biggest challenges you faced while building it? Expected compensation (US-based employees): $150,000 - $1M annual salary + stock and/or stock option awards + benefits. We offer competitive pay and benefits. Compensation may vary depending on many individualized factors, including location, job-related knowledge, skills, and experience. Details of the compensation package, including benefits (medical, dental, vision, 401K, …), will be provided if and when a candidate receives an offer of employment. Equal Opportunity Statement - 8090 is an Equal Opportunity employer. All qualified applicants will be considered for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state, or local laws. Employment Eligibility This position is only open to candidates who can provide sufficient documentation establishing employment eligibility in the United States of America and to provide satisfactory proof of your identity as required by U.S. law. A further condition of your employment is satisfactory completion of a credit and/or criminal background check. We do not provide new work visa sponsorship.

Requirements

Must-haves

Note: If it’s been more than 6 months since your last application, we’d love to invite you to apply again.
This is an on-site role based in Redwood City, California or Toronto, Ontario, Canada.
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
Excellent verbal and written communication abilities to collaborate and convey ideas effectively internally and to customer stakeholders
What Sets a Candidate Apart
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.
Tell us about the most exceptional product you’ve built. What made it stand out, and what were the biggest challenges you faced while building it?
Employment Eligibility
We do not provide new work visa sponsorship.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlaipythontypescriptreactawsdocker

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k