QA Engineer (EST hours) ID35731

AgileEngine; São Paulo; Híbrido; BRL 364 000 - 572 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth opportunities

Competitive compensation

Exciting projects with top-tier clients

Flextime options

Resumo da oferta

A leading software development company based in São Paulo is seeking a QA Engineer to design and execute testing strategies and validate AI model performance. The ideal candidate has over 3 years of experience in QA and a Bachelor's degree in a relevant field. The role offers competitive USD-based compensation along with professional growth opportunities and a flexible work schedule.

Qualificações

• 3+ years of experience in QA, Test Engineering, or related roles.
• Solid understanding of SDLC and Agile methodologies.
• Comfortable working with REST APIs and data pipelines.
• Upper-Intermediate English level.
• Comfortable with REST APIs, data pipelines, and backend services.
• Familiarity with cloud platforms (AWS or Azure) and CI/CD tools.
• Detail-oriented mindset with a sharp eye for edge cases and ownership.
• Upper-Intermediate English level.

Responsabilidades

• Design and execute both automated and manual end-to-end test strategies.
• Validate AI model performance and automate quality processes.
• Support and enhance CI/CD pipelines and define quality gates.
• Test and validate integration points between AI components and core business logic.
• Support and enhance CI/CD pipelines by maintaining test infrastructure and defining quality gates, automated scripts, and synthetic data.
• Define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates).
• Stay on the cutting edge—continuously learn and apply the latest AI and QA practices to make the impossible possible for our customers.

Conhecimentos

QA testing

Automation

Pytest

Selenium

Cypress

Postman

REST APIs

AWS

Azure

CI/CD

Git

English (Mid-High)

Formação académica

Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience

Ferramentas

Pytest

Selenium

Cypress

Postman

AWS

Azure

Descrição da oferta de emprego

Overview

QA Engineer (EST hours) ID35731 – AgileEngine

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.

What you will do

• Design and execute both automated and manual end-to-end test strategies across all layers of the testing pyramid.
• Validate AI model performance, including accuracy, confidence thresholds, and fallback behavior.
• Automate quality processes from data ingestion to extraction and classification, with a focus on speed, repeatability, and resilience.
• Test and validate integration points between AI components and core business logic.
• Support and enhance CI/CD pipelines by maintaining test infrastructure and defining quality gates, automated scripts, and synthetic data.
• Define and track quality metrics that matter to the business (e.g., turnaround time, confidence scores, correction rates).
• Stay on the cutting edge—continuously learn and apply the latest AI and QA practices to make the impossible possible for our customers.

MUST HAVES

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
• 3+ years of experience in QA, Test Engineering, or related roles with a strong grasp of QA methodologies.
• Solid understanding of SDLC, Agile methodologies, and software quality principles.
• Hands-on experience with automation frameworks like Pytest, Selenium, Cypress, Postman, etc.
• Comfortable working with REST APIs, data pipelines, and backend services.
• Familiarity with cloud platforms (AWS or Azure) and CI/CD tools.
• Detail-oriented mindset with a sharp eye for edge cases and a strong sense of ownership.
• Quick, proactive learner—especially important in the fast-evolving world of AI.
• Upper-Intermediate English level.

NICE TO HAVES

• Experience testing AI/ML systems in production environments.
• Familiarity with GenAI model evaluation metrics.
• Experience setting up monitoring/alerting for model drift, workflow failures, or performance issues.

PERKS AND BENEFITS

• 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, with options to work from home or in the office.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Industries: IT Services and IT Consulting