Senior Qa Engineer

Techstart Perú S.A.C.; Lima Metropolitana; Presencial; PEN 90.000 - 130.000; Jornada completa

Descripción de la vacante

Techstart Perú S.A.C. seeks a Senior QA Engineer to own QA across AI-driven applications, from data pipelines to UI.

You will design test plans, build and maintain automated suites, and perform exploratory and manual testing while partnering with developers and product management to embed quality throughout the lifecycle. You will collaborate with a team of AI engineers to ensure correctness, reliability, and performance, including API, backend, and frontend layers, and drive QA strategy across

Formación

• Experience designing test plans and test coverage matrices.
• Hands-on experience with automated test suites for API/backend/frontend.
• Experience with AI/ML QA considerations is a plus.

Responsabilidades

• Define and maintain the overall QA strategy, test plans, and test coverage matrix for AI-powered applications.
• Translate product requirements and acceptance criteria into comprehensive test cases, including edge cases and failure modes.
• Establish quality gates and definition-of-done standards in collaboration with the Tech Lead.
• Assess risk for each release and prioritize testing effort accordingly.
• Design, build, and maintain automated test suites for API, backend, and frontend layers (e.g., pytest, Playwright, Cypress, or similar).
• Perform thorough manual and exploratory testing for new features, integrations, and regression areas (including mobile devices).
• Test AI/ML-specific functionality: LLM outputs, RAG retrieval accuracy, prompt response quality, and edge-case handling.
• Conduct performance, load, and stress testing where appropriate.
• Log, triage, and track defects with clear reproduction steps, severity assessment, and impact analysis.
• Maintain a defect dashboard and communicate quality metrics to the team and leadership.
• Work with developers to prioritize bug fixes and verify resolutions.
• Perform root cause analysis on recurring defects and recommend process improvements.
• Participate in sprint planning, backlog grooming, and design reviews to provide QA perspective early.
• Partner with the Tech Lead to integrate quality checks into the CI/CD pipeline.
• Coach developers on testability, unit testing, and self-testing practices.
• Advocate for the end user in all quality decisions.

Conocimientos

QA Best Practices

Test Strategy

Automation Frameworks

Exploratory Testing

Collaboration

Herramientas

Playwright

Cypress

pytest

CI/CD tools

Descripción del empleo

We are seeking a Senior QA Engineer to join our AI engineering team and own quality assurance across our growing portfolio of intelligent, data-driven applications. You will be the quality champion within a team of full-stack AI engineers, ensuring that every feature, from data pipeline to user interface, meets a high bar for correctness, reliability, and performance. This role combines hands-on test engineering with QA strategy: you will design test plans, build and maintain automated test suites, perform exploratory and manual testing, and partner closely with developers and product management to embed quality throughout the development lifecycle. This is a contract position with long-term engagement potential.

Key Responsibilities

Test Strategy and Planning

• Define and maintain the overall QA strategy, test plans, and test coverage matrix for AI-powered applications.
• Translate product requirements and acceptance criteria into comprehensive test cases, including edge cases and failure modes.
• Establish quality gates and definition-of-done standards in collaboration with the Tech Lead.
• Assess risk for each release and prioritize testing effort accordingly.

Test Execution: Manual and Automated

• Design, build, and maintain automated test suites for API, backend, and frontend layers (e.g., pytest, Playwright, Cypress, or similar).
• Perform thorough manual and exploratory testing for new features, integrations, and regression areas (including mobile devices).
• Test AI/ML-specific functionality: LLM outputs, RAG retrieval accuracy, prompt response quality, and edge-case handling.
• Conduct performance, load, and stress testing where appropriate.

Defect Management and Reporting

• Log, triage, and track defects with clear reproduction steps, severity assessment, and impact analysis.
• Maintain a defect dashboard and communicate quality metrics to the team and leadership.
• Work with developers to prioritize bug fixes and verify resolutions.
• Perform root cause analysis on recurring defects and recommend process improvements.

Collaboration and Process

• Participate in sprint planning, backlog grooming, and design reviews to provide QA perspective early.
• Partner with the Tech Lead to integrate quality checks into the CI/CD pipeline.
• Coach developers on testability, unit testing, and self-testing practices.
• Advocate for the end user in all quality decisions.