Position: Middle/Senior QA Automation Engineer (JS)
Company: Corva.AI
Experience required: 1y
English level: upper

Required skills

— 2+ years of experience in an automation quality engineering role, with an in-depth understanding of software engineering and development lifecycle, continuous integration;
— Strong proficiency in JavaScript;
— Experience with Selenium-based tools;
— Experience in testing complex web applications, understanding REST & API practices, and the client-server architecture;
— Understanding of CI and code version control concepts;
— Excellent written and verbal communication skills in English;
— Ability to work well with distributed teams effectively.

As a plus

— Experience with gray/white box testing;
— Experience with typescript.

We offer

— Office or remote;
— Working on a great tech stack (app platform) with truly big data;
— Product company with a long-term vision;
— High talented team;
— Project exposure and ownership that impacts our users, product, and business;
— Medical insurance;
— Sport compensation;
— PE accounting and support.

Responsibilities

— Creating and maintaining automated tests and documentation for complex SPA Web applications, analysis and specs clarification;
— CI results analysis;
— Adding locators to FE codebase;
— Working closely with manual qa team in order to: establish best way of testing a feature (which tests we need and on which level of testing pyramid we need it), make sure the test is right when it’s already implemented, report bugs to manual qa;
— Research and learn new product disciplines.

Project description

Corva is one of the hottest start-ups and for good reason. We are the emerging leader in real-time data and analytics for the oil & gas industry. The world’s biggest companies rely on our platform every minute of the day to support their critical operations. Our team is actively shaping the future and we are looking for dynamic, creative, and thoughtful individuals to contribute to our success.
The product is a platform with rich web UI for collecting, visualizing, analyzing and making sense of data from drilling rigs to help oilfield companies optimize their operations and ensure safety. Corva’s platform is modeled as a cloud app store, which gives enormous flexibility. It’s actively evolving and does not contain legacy code or outdated technologies.
How it looks like: www.youtube.com/watch?v=xpQf49770g4
Crunchbase: www.crunchbase.com/organization/corva
Use cases: www.corva.ai/use-cases

Technology Stack
Test Automation: TypeScript, WebdriverIO, BackstopJS, Puppeteer, Allure
Front-end: JavaScript ES6+, React, Redux, Immutable.js, Material UI, Highcharts.js, HTML5, CSS3, PostCSS, Autoprefixer, Webpack, Babel
Back-end: Ruby; Node.js; AWS; Kafka; MongoDB; PostgreSQL