Lead QA Automation [Python] in DataArt

Closed job - No longer accepting applications

With over 25 years since 1997 of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets.

The company’s main product has combined the innovative analysis system and statistical data processing results of tens of millions of users. This has allowed them to implement a convenient consumer service for mass use both as a web application and a mobile service.

Apply directly on the original site at Get on Board.

Funciones del cargo

Collaborate with peers to identify design objectives and possible failure modes
Write test plans for functional and qualitative requirements
Collaborate with platform engineers to create whitebox and blackbox tests
Collaborate with frontend and mobile engineers to create and automate e2e tests
Collaborate with DevOps and QA to create QA gates in automated build pipelines
Collaborate with data engineers on data QC
Document what you create
Participate in support and releases

Requerimientos del cargo

BA/BS in Computer Science, or a closely related field, or equivalent work experience
Python and Typescript experience
Test case management and regression testing experience
Experience creating QA gates in automated build and release pipelines
Static analysis and security scanning experience
AWS experience
Strong written and verbal English communications

Opcionales

- Enthusiasm, curiosity, and drive

Condiciones

Contractor Schema
Paid Days Off.
Paid Training.
Remote/Flex Work.
Paid Certifications (AWS; GCP; Microsoft; among others)
English classes

GETONBRD Job ID: 37177

Digital library Access to digital books or subscriptions.

Education stipend DataArt covers some educational expenses related to the position.

Conference stipend DataArt covers tickets and/or some expenses for conferences related to the position.

Remote work policy

Locally remote only

Position is 100% remote, but candidates must reside in Uruguay, Colombia or Brazil.