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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. Visa Information - We do not provide new work visa sponsorship. This position is only open to candidates who are citizens, permanent residents or are transferring an existing H-1B, O-1, L-1, H4 EAD or TN Visa.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.