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  Location: Los Angeles, CA
  Remote: Yes
  Willing to relocate: No
  Technologies: T3 Stack (Typescript, tRPC, Tailwinds, NextJS, Prisma, NodeJS, Javascript), Python/Flask, Solidity
  Résumé/CV: https://github.com/0xevm1/0xEVM1/blob/main/0xEVM1-Q4-2023-SWE-FS.pdf
  Email: 0xevm1@gmail.com
I can take a project from ideation to production, "own" features. I have worked in teams, and led teams. Just let me know what kind of signal you are optimizing for so I can put that foot forward.

Experienced Fullstack engineer with 10 years of experience building web applications using JavaScript, TypeScript, React, Next.js, and Node. Python / Flask experience as well. Other stacks include Solidity, Hardhat.

Proficient in developing and maintaining scalable and performant applications, with a focus on creating intuitive and user-friendly interfaces. Seeking a Senior Full Stack Software Engineer, Senior Software Engineer role or Staff Software Engineer role.

Will take a lower base for Rust roles.


email does not resolve, neither does the most intuitive next door neighbor of homebase.ai but its not clear if that's the same company, is there any more information about your company?


Apologies, email is now fixed.


eligible for overtime though, adds up and on the plus side you never get to be at home when you do that to worry about what your home is like. halfway sarcastic.


you're missing that major markets within the US just started mandating salaries to be disclosed

prior information posted on "what salary does <job title> make" websites was just wrong

that's pretty much it


> you're missing that major markets within the US just started mandating salaries to be disclosed

They post a range, not an exact salary. It's much less useful as it spans entry / mid all the way to staff+.

> prior information posted on "what salary does <job title> make" websites was just wrong

levels.fyi is pretty accurate.


yes, in which case the parent poster shouldn't have been confused about salaries at all, aside from not looking.

there is a major deficiency in Levels data, as they accept a combination of offer letters, W-2's and Yearly Compensation Statements. So for positions with heavy share based compensation combined with market volatility, the W-2's and can be wildly different than an offer letter. This winds up wasting everyone's times, inflated expectation from every starry eyed employee, and bad data in general. There isn't enough data to smooth that out, for most positions or time frames.


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