Description
| Global Market for QA
Markets are changing rapidly, and there is a demand for quick software releases. Agile development has become mainstream; on a global scale, 92% of developer teams adopt agile development, 71% of which aim to release at least once a week. With such a rapid cycle, manual verification is too time-consuming, and there is an urgent need for automation. Our services can solve these critical challenges and make our clients a competitive advantage in software development. QA’s global budget is said to reach over $1 trillion. We are rapidly expanding our service reach internationally to win this vast global market.
| About Us
Autify, Inc. is a San Francisco-based startup that was founded by the first Japanese team to graduate from Alchemist Accelerator, one of the top accelerators in the US. With the mission to empower people’s creativity through technology, we have been offering an AI-powered automation platform aiming to eliminate the test phase.
Since 2019, we’ve been providing our AI-powered nocode test automation product and have grown the team to 100+. Our next move is to double down on GenAI. As we have been investing in AI and helping customers’ software quality since 2019, we know how to best utilize GenAI in software QA. With that, we have recently launched our new product, Zenes, a GenAI agent for software quality assurance.
| About This Role
Job Purpose
Since its official release in October 2019, Autify has been implemented by numerous clients, and our client base is continuing to grow. While we provide all the essential functions required in a test automation platform, we continue to receive requests for new functions and improvements. Autify is working on growing the product further by adding new features. For this reason, we are expanding our engineering team to develop further and improve Autify’s highly reliable test execution mechanism. We are looking for a senior engineer to join our team.
You will mainly be responsible for the Japanese market requirement focused on developing and improving our new generation of AI platform products. You will also examine bug reports from customers, work on fixing them, and apply the findings when improving the core engine and architecture of the product.
https://autify.jp/products/genesis
Responsibilities
- Work with other engineers, designers, and product leads to implement various features while considering performance, security, and reliability.
- Investigate and solve issues that occur in specific browsers and applications
- Desktop and Web application development using Typescript on Node and Electron and GOlang as well as Ruby on Rails
- Facilitate future development by continually improving the existing systems architecture, code quality, CI/CD pipeline, etc.
- Work with other teams to improve our E2E test automation product built with Appium, Selenium, Webdriver, etc.
- Proactively identify functions that can be improved, and suggest possible solutions in the technical aspects and product-related ideas.
- Participate in on-call rotations for incident & alert handling
Required Qualifications
- Over 7 years of experience in web or distributed systems development autonomously or with accountability within the full solution development
- Experience in designing and developing backend and frontend on distributed systems
- Experience in developing multi-platform desktop applications with Electron, Java, .Net, Xamarin, React Native, MAUI, Flutter or other frameworks.
- Experience in infrastructure with Docker, AWS, GCP or Microsoft Azure.
- Modern development experience with Agile or Scrum.
- Ability to communicate and work in English
- Until a Visa can be issued, being able to work from your own country with some overlap with Japanese business hours.
Nice-to-Have
- Alternative experience in other BE languages and tech stacks like Rails, Ruby, Go, or Python
- Experience in contributing to Open Source projects in Webdrivers or Chrome extensions.
- Experience with test automation with Selenium or Playwright.
- Proficient in the process of analyzing, hypothesizing, and testing
- Experience in E2E test automation with Selenium and Appium
- Experience in interviewing or directly interacting with customers and users
Selection Process
1. Coding test (take-home)
2. HR interview: 45 min
3. Technical assignment (take-home)
4. Technical interview: 60min
5. Final interview: 45min
Note: We will request you provide references after the final interview.
| About the Engineering Team
Our Team
Autify's engineering team is international, with more than half of the engineers being foreign nationals and all developers being English speakers. We have a good culture where members respect each other's backgrounds. Since we have two products, Autify for Web and Autify for Mobile, our development engineers are divided into two teams corresponding to each product. We have about 30 front-end, back-end, and technical support engineers who work closely with engineering managers, product managers, QA managers, designers, and machine learning engineers. The product manager is in charge of the general roadmap. The product manager develops a rough roadmap and works with the engineers and designers on the details of each feature and bug fixes before implementation. Depending on the size of the feature, we appoint a feature lead from among the engineers to be in charge of the project and give them the discretion to make technical decisions.
Our Development Process
We create a ticket about what kind of function we will develop. In some cases, the product owner creates it based on user feedback; in other cases, each team creates bugs and investigation requests directly.
The development cycle consists of one Sprint, which takes two weeks. Development tasks are assigned during the planning stage on the first day of the Sprint, and we hold a daily standup meeting to check the overall progress and any problems. (If there is a time difference, it is done at lunchtime).
We review code on GitHub. After the review, the merged branches are automatically deployed to the staging environment, and E2E tests are performed (which Autify does itself).
After testing on the integrated branch, it's deployed to the production environment. Deployment is done several times a week as needed. We also hold sprint ceremonies like Sprint planning, feature refinement and sprint retrospective sessions. The developer will demonstrate the developed function to all employees at the end of the Sprint in the Sprint Demo.
Tech Stack
- Backend: Ruby, Ruby on Rails, Go
- Frontend: JavaScript, TypeScript, React, Redux, Styled Components
- Machine learning: Python, PyTorch, Kubernetes, GPT-4
- Database: PostgreSQL, Redis
- Test: Appium, Selenium, WebdriverIO, Puppeteer
- Infrastructure: AWS, Docker, Terraform, Packer, MacStadium, GoogleCloud
- Monitoring: Datadog, New Relic, Sentry
- CI/CD: CircleCI, GitHub Actions
- Source code management: GitHub
- Project management: Jira
- Misc.: G Suite, Slack, Notion, Gather, Zoom, Miro, 1Password, Mixmax, Calendly, etc.
| Employment Conditions
Employment Status
- Permanent employee (Full-time)
- Probation period: 3 months after joining the company (conditions are the same as permanent employment)
Work Location
- Tokyo office or Remote (Hybrid)
Work Hours
- Full flextime time
Note: The determination of working hours (start and end times) must be made to the extent that one's own duties (including guidance and supervision of subordinates) are properly performed and that there are no obstacles to work in terms of coordination and communication with other employees.
Bonus
- Twice a year
Holidays/PTO
- Complete a five-day workweek system (National holidays, Year-end and New Year holidays, etc.)
- Unlimited paid time off
Benefits
- Equipped with various social insurance
- Regular health checkups
- Stock option
- A laptop PC will be rented when joining the company
- Remote work allowance
- English learning support
- Skill-up support
- Visa sponsorship
- Relocation bonus
- Relocation housing support
| Resources
- Company Deck
- Autify CEO's Blog
- Autify Blog
- Autify Podcast
Autify
Analytics
Artificial Intelligence (AI)
Information Technology
Machine Learning
Software
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