2 publicaciones de empleo destacadas en software engineer database integrations (¡Están contratando!)

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce
AppIQ Technologies —España
- Jornada completa
- Teletrabajo
- SQL
- AWS
- Grado
- Vacaciones pagadas
Solicitud rápida
Senior Laravel Developer
Bnberry —España
- Jornada completa
- Teletrabajo
- Desarrollo de software
- Inteligencia artificial
Solicitud rápida
12h

Other jobs to consider

Find your next job by exploring related positions.

AI Software Engineer — Remote | HAIRED
Haired —En remoto
— 2+ years of experience building with LLMs or NLP systems in production — Strong Python skills — you can write clean, maintainable backend code — Experience…
De 150.000 € a 160.000 € al año
Solicitud rápida
12d
Senior Software Developer
Trimble —En remoto
Contribute to the architecture, design and development of a strong foundation of one of the platform services for domain specific products that are scalable,…

Quiero recibir la alerta de empleo más reciente de software engineer database integrations

Al iniciar sesión en tu cuenta, aceptas las Condiciones del servicio de SimplyHired, nuestra Política sobre cookies y nuestra Política de privacidad.

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce

AppIQ Technologies
España

Solicitud rápida

Detalles del empleo

Jornada completa

Beneficios

Vacaciones pagadas

Cualificaciones

Node.js
React
Herramientas de gestión de pruebas
NoSQL
MongoDB
E-commerce
Arquitectura de microservicios
SQL
AWS
Grado
Machine learning
JavaScript
Cloud
S3
Test cases
Python

Descripción completa del empleo

AppIQ Technologies is seeking a meticulous and strategic QA Engineer / Sr. QA Engineer to ensure the quality and reliability of our Machine-Learning-driven e-commerce funnel optimisation and digital advertising platform.

You will be responsible for defining the testing strategy for high-performance applications that leverage our proprietary Predictive AI solutions. As a key member of our fast-paced startup, you will balance the need for rapid feature deployment with the necessity of thorough testing.

You will be responsible for identifying and prioritising the highest-risk bugs to ensure our scalable services, which manage millions of daily events, remain robust and accurate.

____________

Responsibilities

QA Architecture & Strategy: Develop and maintain a comprehensive QA architecture that supports full-stack applications and complex microservices.
Risk Management: Prioritize bug fixes based on risk of failure and potential impact, while striking a productive balance between speed-to-market and exhaustive testing.
Test Management: Utilize test case management (TCM) systems such as TestRail, Zephyr, Xray, PractiTest, qTest, or similar (your choice) to organize test cases, track execution, and provide transparent reporting on quality metrics.
Automated Testing: Design, implement, and scale automated test suites using tools such as Playwright, Cypress, and Appium or similar tools.
Testing & Validation: Design and execute rigorous integration, API, and End-to-End tests on applications built with TypeScript, React, Node.js, Python, and PySpark.
Collaborate with developers to ensure adequate unit test coverage.
Infrastructure Testing: Verify the reliability of deployments across AWS (EC2, S3, Firehose) and Cloudflare edge environments.
Data Integrity: Collaborate with Data Engineers to validate the accuracy of complex event data and real-time reporting dashboards.
Cross-Functional Collaboration: Act as a great team player with excellent communication skills, working closely with developers and data scientists to ensure a seamless end-user experience.

____________

Requirements

4+ years of professional experience in software quality assurance or engineering, with a strong focus on scalable web applications (7+years for Sr. QA Engineer).
Strong grasp of QA architecture and modern testing methodologies.
Deep expertise in TypeScript, alongside a strong architectural understanding of React and Node.js environments.
Cloud & Database Proficiency: Familiarity with AWS services and both SQL and NoSQL (e.g., MongoDB) databases to effectively test data persistence and performance.
Basic knowledge of Python
Global Collaboration: Ability to work effectively with globally distributed teams.

____________

Strong Plus if You Have

Familiarity with Next.js
Proficiency in Vitest, Jest or other unit and integration test solutions.
Experience with Playwright or Cypress or similar End-to-End testing tools.
AI/ML Literacy: Understanding of Machine Learning (Supervised & Reinforcement Learning), Predictive AI, and the validation of Data Pipelines.
Proficiency in Python and experience with PySpark.
Experience with Restricted Boltzmann Machines (RBM) for e-commerce funnel feature extraction.
Prior experience in the e-commerce or Ad Tech ecosystems (Media Buying, DSPs, Conversion Optimization).

____________

Benefits

The opportunity to shape the QA culture and architecture from the ground up.
An attractive career path on either a management or an individual contributor track.
Competitive compensation and generous paid time off.
Remote work flexibility allows you to work from nearly anywhere on Earth, provided you can maintain a few overlapping hours with Central European Time (CET).
Opportunity to develop deep expertise in creating and testing cutting-edge predictive AI applications, which goes far beyond using other companies’ AI tools.

Solicitud rápida

Refina tu búsqueda

software engineer database integrations empleos

QA Engineer / Sr. QA Engineer - Machine Learning Platform for E-Commerce

Senior Laravel Developer

Other jobs to consider

Quiero recibir la alerta de empleo más reciente de software engineer database integrations

Related Searches

Herramientas para candidatos

Herramientas para empresas

Buscar

Mantener la conexión