QA Automation Engineer

Chubb Ltd.; México; Presencial; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Chubb Ltd. is seeking a Testing Automation Engineer to design, build, and maintain automated and performance testing suites across Digital Enterprise platforms.

The role emphasizes robust automation frameworks, integration into CI/CD pipelines, and translating findings into actionable risk signals for stakeholders. This senior practitioner will mentor teams and own end-to-end test strategy for automation and performance.

Formación

• Proven experience building automated test suites for complex digital products.
• Strong understanding of performance testing and load scenarios.
• Hands-on knowledge with CI/CD integration and test automation frameworks.

Responsabilidades

• Design, build, and maintain automated and performance testing suites.
• Develop robust automation frameworks and reusable libraries.
• Embed quality practices into Agile delivery teams.
• Translate test results into clear risk signals for stakeholders.
• Mentor Quality Engineers and lift automation standards.
• Own end-to-end test strategy for automation and performance.

Conocimientos

Automation testing

Performance testing

CI/CD integration

Test automation frameworks

Mentoring

Agile

Educación

Bachelor’s degree in Computer Science or equivalent

Herramientas

Selenium

JMeter

Gatling

Python

Descripción del empleo

The Testing Automation Engineer is responsible for designing, building, and maintaining automated and performance testing suits that ensure software quality across Chubb's Digital Enterprise platforms. This role drives testing excellence by developing robust, reusable automation frameworks, embedding quality practices into Agile delivery teams, and translating complex technical findings into clear risk signals for stakeholders.

The Testing Automation Engineer operates as a senior practitioner and technical mentor, raising the quality bar across multiple project teams while owning end-to-end test strategy for automation and performance in complex digital products.

This position is accountable for delivering and sustaining automated quality practices across Digital Enterprise project teams.

The person in this role will be accountable for:

• Identifying and resolving quality and automation blockers to maintain project velocity and proactively suggesting solutions and mitigation techniques to prevent delays to delivery.
• Gaining and maintaining expertise in Chubb standard automation frameworks, contributing to framework selection decisions and ensuring the team's tooling stays current and effective.
• Independently creating and managing test and automation scripts across projects, with a strong emphasis on reusability, maintainability, and coverage completeness.
• Developing robust and reusable automation libraries and script architectures that can be adopted across multiple project teams and delivery squads.
• Designing comprehensive quality strategies for complex products within projects, covering functional, integration, performance, and regression testing dimensions.
• Presenting quality strategies, test results, and risk assessments in project reviews and sprint demonstrations, communicating clearly to both technical and non-technical audiences.
• Integrating automated test suites into CI/CD pipelines to enable continuous quality feedback throughout the development lifecycle, reducing the cost of defect discovery.
• Defining and enforcing automation standards, coding patterns, and best practices across engineering teams to ensure consistency and long-term maintainability of the test estate.
• Establishing performance baselines, thresholds, and SLA targets in collaboration with architects and platform owners and tracking degradation trends across releases.
• Mentoring Quality Engineers to foster hands-on growth through code reviews, knowledge sharing, and direct guidance, actively contributing to increasing the automation and performance practices
• Designing test suits and strategies focused on performance optimization, and extending this practice across the Digital Transformation model