Software Developer in Test

6 мес. назад

55k–130k USD / yearCanadaWorldwideMiddleRemote

e2e testingweb developmenttest planningerror reporting

Responsible for testing and creating automated E2E tests for a web platform to ensure reliability and quality for millions of users.

Требования

3+ YOE in QA or web development
Experience with web development (e.g. functions, algorithms, etc)
Very familiar with Chrome debugger (console, network, application windows)
Ability to code using Javascript, HTML and CSS (i.e. has coded websites before)
Highly motivated to make impact in a fast-moving workplace
Degree in IT/Computer Science or 4 years of work experience
Fluent in English
You can either by hybrid in Toronto/New York City (with work authorization) or remote with ability to attending meetings 9am-6pm Eastern Standard Time
Bonus Experience debugging Chrome extensions

Другое

is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity.
Our team comes from high-performing engineering cultures, including Meta, Perplexity, AWS, Affirm, and leading AI research labs, including Princeton, Caltech, and Vector Institute.
We are looking for a Software Developer in Test to make our user experience on our platform more delightful and reliable for our millions of users. The ideal candidate has a strong web development background, is thorough, independent, and possess a great product sense. You'll be a key part of a fast-paced team of passionate builders to preserve critical thinking for humanity.
Test our chrome extension and web application, executing detailed test plans on a variety of browsers and operating systems
Created detailed error reports using video recording software and task management software
Create automated E2E tests to gate new releases using our drag-and-drop E2E testing tool
Work with our engineering team live to reproduce and understand errors and improve our platforms robustness
We’re a small team. We value ownership, transparency, and listening to each other.
Everyone works and interacts with everyone. Everyone is free to attend meetings across product functions, whether it's diving into designs or dropping into our ML learning groups.
Here are some people you’ll work closely with. You’ll be meeting everyone.
Alex (CTO), Ph.D. dropout, R&D at Uber self-driving division and Facebook, 3 patents in ML, 2021 and 2019 Best ML Hack at Stanford
Midhun (Fullstack), highly technical ex-founder with a decade of engineering and product experience. He founded Nuance, an AI voice assessment for companies to hire faster. Prior to that, he finished his CS Masters in 2014, worked at Bloomberg and Intuit, before starting the AngeList team in India.
Edmond (Fullstack), the first engineer at Andela’s Kampala office, and scaled Andela’s Ugandan office from 1 to 200+ developers. He is also the first Obama Scholar from East Africa, completing graduate studies at Columbia University.
Together, we are committed to making a permanent impact on the future of the internet, and on humanity.
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Additionally, you will be working with an experienced (eg. ex-Google, Meta , Microsoft, Bloomberg ML, Uber, Vector, MILA ), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.
Together, we are committed to making a permanent impact on the future of writing, and on humanity
At , our recruiting team is involved in every step of the hiring process. We use AI-based tools (such as and ) to help us to accelerate candidates at the resume review stage by marking when candidates met certain key criteria. These tools are never the final say in a hiring decision - humans are.