TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries.

We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience.

About the team

We are looking for a mid level QA to analyse and integrate new data providers into the existing system using company tools. Focused on improving the quality of existing integrations - fixing problems and providing technical support.

Responsibilities

— You will be conducting analysis and performing testing of data providers in order to find problems, report them, and confirm data feeds quality.

— You will also be collaborating with the development team to improve the tools used, communicating with the integrated data providers in written and verbal English.

What makes you the perfect fit

— Knowledge of HTTP and REST

— Ability to work with files in YAML, JSON formats

— Ability to analyze data, identify anomalies and/or irrelevant content (both manual and possible automation)

— Experience and knowledge of the testing automation tools

— Meticulousness and attention to detail

— Systematic approach and consistency

— Basic knowledge of POSIX command line (tail, grep, curl, ssh, watch)

— Experience in usage or basic understanding of git and docker

Will be a plus

— Experience in finance or trading domain

— Familiarity with TradingView as a product

What we offer you

— Flexible working hours and a hybrid work format

— Well-equipped offices for focused and collaborative work

— A global, distributed team of 500+ professionals

— Learning, mentorship, and long-term career growth

— Relocation support and private health insurance

— Performance-based bonuses

— TradingView Premium access

— Regular team events and company-wide meetups

Who you are

Mid level QA with a focus on data provider testing and integration quality, capable of communicating with providers and team members in English, and able to work in a hybrid environment.