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QA Lead

Requirements and responsibilities

Questions for applicants

Real-time user activity

Real-time AI thinking

Cognox SAS

QA Lead

Posted by

Laura V Villegas Cardona

The 'Role' field is required.

Emma

At Cognox we are in a process of knowledge and transformation and we are looking for passionate people like you to build together

Emma highlights

This highlight was written by Emma’s AI. Ask Emma to edit it.

Full-time

Legal agreement: Contractor

Currency exchange and taxes to be paid by:

Candidate

Compensation

USD2k - 2.15k/month

Non-negotiable

The 'Compensation' is required.

Remote (specific timezone)

GMT-07:00 to GMT-03:00

The 'Location' is required.

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Review preferences

Posted over 4 years ago

Requirements and responsibilities

- Technical definitions for the development of a digital product. - Development of critical components. - Code review of the code generated by the equipment. - Technical coaching. - Prioritization of requirements. - Estimation of tasks.

Requirements

Skills wanted:

Expert Usually more than five years of experience and can coach others.

QA testing

Quality assurance (QA)

Proficient Usually more than one year of experience and no coaching needed.

Leadership

Scrum

Language(s) required:

Meet your team

Job leaders:

Laura V Villegas Cardona Verified

Lider de Gestion Humana

Discover your cultural fit with the team

Job admins:

Laura V Villegas Cardona Verified

Lider de Gestion Humana

Jobs posted: 14

Signalers: 1.0K

User since: Jun 2021

About Cognox SAS:

Somos una compañía Colombiana con más de 17 años en la industria TI, generamos valor a nuestros clientes desarrollando proyectos de software en diferentes tecnologías con talentos en modalidad de Staffing. Garantizamos por medio de procesos de gestión la continuidad del conocimiento de negocio y técnico en los equipos de trabajo.

mission:

Garantizar, por medio de procesos de gestión, la continuidad del conocimiento de negocio y técnico en los equipos de trabajo.

Job benefits for full-time members:

Reputation:

Jobs posted: 14

Signalers: 82

learn more about Cognox SAS

Online presence

Online presence

LinkedIn URL

Twitter username

Facebook username

Instagram username

GitHub username

GitLab username

Link to your website

To edit the organization's information go to Cognox SAS's team genome.

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Manage team members

Team members:

Laura V Villegas Cardona (Job poster)

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Job admins:

Laura V Villegas Cardona (Job poster)

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Questions for applicants

These are pre-screening questions of the application process that will filter and rank candidates.

Filtering questions:

Yes/No (filtering question)

Can you keep conversations in English without problems?

1. Question type:

In written format (you'll write the question)

In video format (you'll record the video)

In audio format (you'll record the audio)

Question:

2. Purpose:

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What would make a bad answer?

Example: Generic answer, without making reference to their past experience, frameworks, processes, or used tools. 0/500

Other questions:

Open (written answer)

Tell us briefly about your experience in QA Testing

1. Question type:

In written format (you'll write the question)

In video format (you'll record the video)

In audio format (you'll record the audio)

Question:

2. Purpose:

Use as a ranking factor

Automatically filter applicants

Just learn more about the applicants

5. Answer expectations:

Also visible to candidates

Train the algorithm: Torre’s AI ranks candidates with good answers higher.

What would make a good answer?

Example: Gives details, refers to their past experience, explains a framework. 0/500

What would make a bad answer?

Example: Generic answer, without making reference to their past experience, frameworks, processes, or used tools. 0/500

Open (written answer)

Do you have experience leading technology teams? Tell us about that, please.

1. Question type:

In written format (you'll write the question)

In video format (you'll record the video)

In audio format (you'll record the audio)

Question:

2. Purpose:

Use as a ranking factor

Automatically filter applicants

Just learn more about the applicants

5. Answer expectations:

Also visible to candidates

Train the algorithm: Torre’s AI ranks candidates with good answers higher.

What would make a good answer?

Example: Gives details, refers to their past experience, explains a framework. 0/500

What would make a bad answer?

Example: Generic answer, without making reference to their past experience, frameworks, processes, or used tools. 0/500

Stats

Visitors

335 job opening visits

Applications

4% from previous stage

14 candidates reached this stage

Pre-screenings completed

43% from previous stage

6 candidates reached this stage

In Touch

100% from previous stage

6 candidates reached this stage

Hired

0% from previous stage

0 candidates reached this stage

7 applicant(s) were automatically ruled out during the initial set of pre-screening questions.
The top 6 applicants are usually reviewed within about 11 hours.
0% of applicants have been informed of ruling out reasons.

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