QA Engineer (EST hours) ID35731

AgileEngine; Perímetro Urbano Bucaramanga; Híbrido; COP 120.462.576 - 200.770.960; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth opportunities

Competitive USD-based compensation

Flextime for work-life balance

Descripción de la vacante

A leading software development firm in Colombia is seeking a QA Engineer to oversee testing strategies, drive automation processes, and collaborate closely with product and engineering teams. The ideal candidate possesses strong experience in AQA and a Bachelor's in a technology-related field. This role offers competitive compensation and flexible work arrangements, promoting professional growth through ongoing mentorship.

Formación

• 2-3 years of experience in AQA, Software Test Engineering, or related roles.
• Solid knowledge of the software development life cycle (SDLC) and Agile methodologies.
• Exceptional attention to detail with a mindset for building robust systems.

Responsabilidades

• Architect and oversee end-to-end test strategies across different layers.
• Drive automation of QA processes for data ingestion, extraction, and classification.
• Lead validation between AI components and business logic.

Conocimientos

AQA JavaScript

Building and scaling test automation frameworks

Working with REST APIs

Upper-Intermediate English

Educación

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Herramientas

Pytest

Cypress

Selenium

Postman

Descripción del empleo

QA Engineer (EST hours) ID35731 – AgileEngine

Overview

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

Responsibilities

• Architect and oversee end-to-end test strategies across different layers of the testing pyramid;
• Define, evaluate, and monitor model validation criteria, including accuracy thresholds, confidence scoring, fallback behaviors, and more;
• Drive automation of QA processes, ensuring robust, scalable solutions for data ingestion, extraction, and classification;
• Lead validation of integration points between AI components and business logic, identifying risks and ensuring seamless operation;
• Own, maintain, and evolve test infrastructure, specifically CI/CD quality gates, data generation, and automated validation scripts;
• Establish and monitor key quality metrics aligned with business goals, including turnaround time, confidence scores, and user corrections;
• Act as a strategic partner to Product and Engineering teams, advocating for quality from design through delivery;
• Stay up to date with the latest AI technologies and explore how to apply advancements to solve previously impossible challenges for our customers;
• Take ownership of code quality through exploratory and automated testing.

Must Haves

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience;
• 2–3 years of experience in AQA, Software Test Engineering, or related roles, including leadership responsibilities;
• Experience in AQA JavaScript;
• Solid knowledge of the software development life cycle (SDLC), Agile methodologies, and QA/QE best practices;
• Proven experience building and scaling test automation frameworks (e.g., Pytest, Cypress, Selenium, Postman);
• Strong technical skills in working with REST APIs, data pipelines, backend services, and cloud platforms (e.g., AWS, Azure);
• Exceptional attention to detail and a mindset for building robust systems that catch issues early and protect the user experience;
• Demonstrated ability to learn quickly and proactively—especially important in the rapidly evolving field of AI;
• Upper-Intermediate English level.

Nice to Have

• Experience testing AI/ML systems in production environments;
• Familiarity with GenAI model evaluation metrics;
• Experience setting up proactive monitoring and alerting systems to detect model drift, performance degradation, or workflow failures.

The Benefits of Joining Us

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

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