Google dropped its formal degree requirement back in 2018. Amazon followed. Meta’s job listings have said “equivalent practical experience accepted” for years. And yet the number of people who land FAANG roles without a CS degree is still small enough that it feels like a myth to most candidates working through it. It’s not a myth, but the path is harder to find than the job postings make it sound.
I don’t have exact numbers on how many non-degree hires each company makes annually. Nobody publishes that cleanly. What I do know, from public LinkedIn data and posts in communities like Blind and levels.fyi, is that the pathway exists and the people who make it tend to have a few things in common.
What “equivalent experience” actually means to a recruiter
Recruiters screening resumes aren’t reading your GitHub carefully. They’re pattern-matching in about 7 seconds. “Equivalent experience” in practice means: have you shipped something real that’s in production, or have you contributed to a codebase that other engineers use? Open source contributions, a side project with real users, contract work, or a role at a well-regarded company below FAANG — any of these create the resume signal that gets a recruiter to pause.
A portfolio page with three tutorial clones does not create that signal. This distinction matters more than almost anything else in the early application funnel.
The self-taught route: realistic timeline
The 12-to-18-month “learn to code and land FAANG” narrative that bootcamp ads sell is wildly optimistic for most people. The realistic path from zero programming experience to a FAANG-ready skillset is closer to 3 years, with at least 1 to 2 years of actual industry experience somewhere before the FAANG application. That experience doesn’t have to be impressive. It just has to exist.
Self-taught engineers who do make it to FAANG usually specialize early. Broad familiarity with many languages and frameworks does not impress FAANG interviewers. Depth in one area, particularly in something that has active hiring demand (mobile, ML infrastructure, distributed systems), matters significantly more. The Stack Overflow 2024 Developer Survey shows that engineers who identify as “full-stack generalists” earn less and change jobs more than those with a stated deep specialty. That pattern applies to hiring screens too.
Open source: actually useful, not just resume decoration
Contributing to open source is the single most verifiable signal a non-degree candidate can build. A merged pull request in a well-maintained repo is a code review outcome that any engineer can inspect. It proves you can write code that passes review, work within a contribution process, and handle feedback from experienced maintainers. None of a bootcamp certificate, a self-assigned project, or a generic portfolio page proves any of those three things on its own.
The practical approach: pick one project that you genuinely use and find an issue labeled “good first issue.” Fix a real bug, not a documentation typo. Document your reasoning in the PR description. Repeat 8 to 12 times over 6 months across 2 to 3 different projects. That contribution history is more readable to a senior engineer on a hiring committee than almost any other resume entry.
Which FAANG companies are actually more open to this
Google and Amazon are the most accessible. Amazon in particular has high hiring volume and has been known to hire candidates from non-traditional backgrounds into roles like Solutions Architect, which can convert to engineering roles internally. Meta hires fewer engineers annually and their bar on algorithm interviews is high, which arguably disadvantages self-taught candidates less because the bar is the same for everyone.
Netflix is probably the hardest. Their hiring volume is lower, the culture fit bar is real and intense, and they’ve historically preferred candidates with 5+ years of industry experience for most engineering roles. Apple falls somewhere in the middle and varies significantly by team.
Roles that don’t require you to fight the algorithm interview
Technical Program Manager, Solutions Architect, and Data Analyst are three roles at FAANG companies where the algorithm coding interview is either absent or significantly reduced. TPM roles at Google and Amazon are genuinely competitive for people with project management experience and enough technical depth to credibly run engineering projects. You don’t need to pass a graph traversal problem to do that job well, and FAANG knows it.
The BLS Occupational Outlook projects above-average growth for technical management roles through 2033, and compensation at large tech companies for these roles is competitive with senior individual contributor engineering salaries. If your goal is FAANG-level compensation and you’re not set on writing code full time, this pathway has a better risk-to-reward ratio.
The thing nobody says out loud
Many non-degree engineers who make it to FAANG got there through a referral. The resume screening funnel is where non-traditional backgrounds get filtered out most aggressively. An internal referral routes your application to the hiring manager before it hits the generic recruiter screen, which meaningfully changes your odds. Building relationships with engineers at these companies through open source, meetups, or online communities is not networking advice handed out to make people feel better. It’s a structural workaround for a screening process that otherwise disadvantages you.
If you’re a year or two into this path and feeling stuck, it might be worth asking whether you’re spending more time on interview prep than on building the visibility that gets you into the interview in the first place.