20 publicaciones de empleo destacadas en qa engineer (¡Están contratando!)

Senior QA Engineer
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Inglés
- Desarrollo de software
- Python
- Vacaciones adicionales o permisos con goce de sueldo
1d
QA Automation Engineer
UST —Ciudad de México, CDMX
- Azure
- DevOps
- Java
- Seguro de vida
Postulación rápida
1d
SR QA Automation
Enroute —Ciudad de México, CDMX
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Seguro de vida
Postulación rápida
4d
Senior Software Development Engineer in Test
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
12d
Software Test Engineer
KAL ATM Software GmbH —City, Hgo.
- Correo electrónico
- Inglés
- Disponible para viajar
Sr. QA Automation
Enroute —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Seguro de vida
Postulación rápida
Associate Test Automation Engineer
Capgemini —Aguascalientes, Ags.
Senior Test Automation Engineer (JS)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Plan de adquisición de acciones empresariales
AEM Performance Tester (Mexico-remote)
Blue Acorn iCi —Desde casa
- Tiempo completo
- Home Office (Desde casa)
- Azure
- Administración de personal
- Contratos
- Seguro dental
- Vacaciones adicionales o permisos con goce de sueldo
Lead Software Development Engineer in Test
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- Administración de personal
- DevOps
- Vacaciones adicionales o permisos con goce de sueldo
12d
Senior QA Automation Lead
Enroute —Monterrey, N. L.
- Tiempo completo
- Home Office (Desde casa)
- Administración de personal
- DevOps
- Mantenimiento
- Seguro de vida
Postulación rápida
11d
QA Developer Intern
Epicor —Monterrey, N. L.
- Informática
- ERP systems
- Inglés
Lead Test Automation Engineer (JS)
EPAM Systems, Inc. —Desde casa
- Home Office (Desde casa)
- Azure
- DevOps
- Inglés
- Plan de adquisición de acciones empresariales
Associate Performance Test Engineer
Capgemini —Aguascalientes, Ags.
- Administración de personal
Automation tester
Cognizant —Colonia Polanco, CDMX
- Tiempo completo
- Trabajo híbrido
- Azure
- DevOps
- Java
Senior Test Automation Engineer
Capgemini —Aguascalientes, Ags.
- Azure
- DevOps
- Java
ABL - Líder de Pruebas Altamira
Capgemini —City, Hgo.
- SQL
- Reclutamiento
Software Engineer in Test - Onsite or Remote (FR, UK, DE, NL)
Dataiku —África, Zac.
- Azure
- Java
- C++
Quality Assurance Engineer, Amazon Music, App Foundry
Servicios Comerciales Amazon Mexico S. de R.L. de C.V. —Ciudad de México, CDMX
- Tiempo completo
- Desarrollo de software
Senior Test Automation Engineer
Capgemini Sogeti —Aguascalientes, Ags.
- Azure
- DevOps
- Java
2d

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Senior QA Engineer

EPAM Systems, Inc. -
Desde casa

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Información del empleo

Hace 1 día

Beneficios

Vacaciones adicionales o permisos con goce de sueldo

Cualificaciones

Selenium
Inglés
Garantía de calidad
Desarrollo de software
Python

Descripción completa del empleo

We are seeking a Senior QA Engineer to validate the performance of AI-driven video analysis systems, with a focus on detecting key moments in sports content. The role combines manual and automation testing, working with pre-labeled video assets provided by the customer.

Responsibilities

Audit live sports events across leagues such as NBA, MLB, NFL, and NHL to confirm that the AI/Inference Service accurately tracks and labels major sports moments, including touchdowns, home runs, and buzzer-beaters, exactly as they occur
Apply strong knowledge of sports contexts, terminology, and metrics while working with timecodes, video frames, transcriptions, and captions
Act as the human expert who identifies when the AI produces errors, hallucinations, or misinterprets a sports rule, partnering directly with AWS engineers to document defects and validate their resolutions
Review and validate metadata tags generated by the AI to ensure they align with the sport being analyzed and meet advertising industry standards (IAB rules), keeping content brand-safe for ad placements
Maintain detailed QC documentation, keeping clear records of AI and Inference Service performance, tracking accuracy metrics, and helping establish a smooth testing process that connects traditional sports broadcasting with emerging AI technology

Requirements

At least 3 years of professional relevant experience in QA engineering
Experience in both manual and automation QA, preferably within video-focused or AI-driven environments
Knowledge of testing Large Language Models (LLMs) along with an understanding of the associated workflows
Automation scripting skills using languages and tools such as Python, Selenium, or similar for comparing JSON outputs to ground truth at scale
Solid understanding of software development and QA cycles, including defect logging, triage, and reporting
Ability to interpret labeled data and validate model outputs against expected results
Familiarity with concepts such as computer vision and transcript analysis, without the need to understand internal model workings
Strong communication skills for stakeholder interaction and reporting
Detail-oriented and iterative approach to testing activities
Fluent English communication skills at a B2 level or higher, both written and verbal

Nice to have

Hands-on experience with video testing tools or frameworks dedicated to media QA
Prior work in sports analytics or media technology environments

We offer

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.

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