🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Softgic • Mexico City, Mexico
Role & seniority
Stack/tools
Web SaaS QA, API testing (Postman, REST); manual & exploratory testing
Automation: Selenium, Cypress, or Playwright; CI/CD integration (GitHub Actions, Jenkins)
Performance testing: JMeter, Locust (exposure)
Test data: synthetic data generation at scale
AI-enabled QA tooling (optional exposure)
Cloud exposure: AWS/Azure/GCP (nice to have)
Agile/continuous delivery environments
Top 3 responsibilities
Design and execute comprehensive test strategies (positive, negative, regression, integration, API, performance, baseline security)
Build/manage large-scale synthetic test data; integrate automated tests into CI/CD; ensure production-ready releases
Identify, communicate, and manage risk; improve QA standards, processes, and tooling; support multi-tenant, scalable SaaS quality
Must-have skills
3–5+ years in production SaaS QA (hands-on)
API testing and integrations; strong manual/exploratory testing
Experience with Postman; automation support in Selenium/Cypress/Playwright
CI/CD integration experience (GitHub Actions, Jenkins)
Performance testing exposure (JMeter/Locust)
Familiarity with multi-tenant, scalable, backward-compatible SaaS quality
Agile/continuous delivery experience; strong defect reporting/written communication
Nice-to-have
QA framework/standards/tooling improvements
Cloud environment experience (AWS/Azure/GCP)
AI-driven testing platf
We are seeking a professional QA Engineer (SaaS) who takes clear ownership of product quality within a modern SaaS environment. This is a hands-on role embedded directly in the SDLC, working closely with Product, Engineering, and DevOps to ensure releases are stable, predictable, and production-ready. The ideal candidate demonstrates strong curiosity about how systems fail, discipline in validating that they work, and the ability to clearly communicate risk. You will design and execute comprehensive test strategies—including positive, negative, regression, integration, API, performance, and baseline security testing—while supporting both manual and automated approaches. This role also involves building and managing large-scale synthetic test data, integrating automated tests into CI/CD pipelines, leveraging AI-powered QA tools, and continuously improving quality standards and processes. Success is measured by reduced production defects, reliable releases, and increased confidence in system stability.
Requisitos 3–5+ years of hands-on QA experience in production SaaS environments. Strong experience designing and executing positive, negative, and regression test strategies. Proven ability to create and manage synthetic test data at scale. Experience testing APIs, integrations, and complex multi-step workflows. Solid expertise in manual and exploratory testing for web-based SaaS applications. Experience with API testing tools (Postman, REST-based services). Experience supporting or extending automated test suites using Selenium, Cypress, or Playwright. Familiarity with integrating automated testing into CI/CD pipelines (GitHub Actions, Jenkins, or similar). Exposure to performance testing tools (JMeter, Locust, or similar). Understanding of SaaS-specific quality considerations such as multi-tenancy, scalability, and backward compatibility. Working knowledge of Agile methodologies and continuous delivery environments. Strong written communication skills for defect reporting and release validation.