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Capgemini • Guadalajara, Sonora, Mexico
Role & seniority: QA Integration Engineer; mid-senior level (3–6+ years QA, 2–3 years integration/SIT required)
Cloud: AWS (preferred)
Services: microservices, REST, gRPC, JSON payloads
Testing: Postman, Karate; SIT/UAT
Data/observability: SQL (Aurora PostgreSQL), logs, traces
Other: authentication flows, queues, caches, distributed components
Plan and execute System Integration Testing (SIT) and end-to-end tests for service-to-service communication and API behavior
Validate REST/gRPC services, data consistency, authentication/authorization, error handling; review cloud logs; perform SQL queries
Define testing strategy, create test plans and traceability matrices; produce SIT/UAT reports; document defects with reproduction steps and support RCA discussions
English proficiency (B2+; C1/C2 preferred)
3–6+ years QA experience, with 2–3+ years in integration/SIT testing
Experience validating microservices, APIs, caches, queues in cloud environments (AWS preferred)
Hands-on validation of REST/gRPC and JSON payloads
Proficiency with Postman, Karate; strong debugging, analytical, and documentation skills
Strong SQL skills (Aurora PostgreSQL)
Ability to define testing strategy, test plans, test cases, traceability matrices, and SIT/UAT reports
Log/trace analysis; detailed defect logging with repro steps and expected vs actual outcomes
Participation
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.
Your role
The QA Integration Engineer is responsible for ensuring the quality, stability, and reliability of distributed systems operating within cloud-based microservices environments. This role conducts comprehensive System Integration Testing (SIT) to validate service-to-service communication, API behavior, data consistency, authentication flows, and error handling across the platform. The engineer collaborates closely with development, architecture, and DevOps teams to identify defects, analyze logs and traces, and provide detailed documentation to support efficient resolution.
Key responsibilities include executing integration and end‑to‑end test scenarios, validating REST and gRPC services, reviewing cloud logs, performing SQL queries, and verifying the behavior of queues, caches, and other distributed components. The QA Integration Engineer is also accountable for defining testing strategies, developing test plans and traceability matrices, producing SIT/UAT reports, and contributing to Root Cause Analysis discussions. This position plays a critical role in maintaining the integrity of platform functionality prior to release and ensuring adherence to organizational quality standards.
Your profile
Good conversational English (B2, C1, C2) 3–6+ years of QA experience with at least 2-3 years in integration/SIT testing Experience validating microservices, APIs, caches, and queues in cloud environments (AWS preferred) Hands-on validation of REST/gRPC services and JSON payloads. Experience on testing tools – Postman, Karate etc. Strong debugging, analytical, and documentation skills. Strong SQL skills (Aurora PostgreSQL). Validate cross service chaining, authentication/authorization, error propagation, and non-functional behavior. Ability to define testing strategy, create test plans, test cases, requirement traceability matrices, and SIT/UAT reports. Log detailed defects with repro steps, logs, traces, request/response dumps, and expected vs actual outcomes. Participate in RCA discussions and provide insights into integration level failures.
What You Will Love About Working Here
Empowered Careers with Purpose: Work on meaningful projects that use technology to solve real-world challenges. Be part of a company that values sustainability, inclusion, and digital equity. Contribute to building a better future for people, planet, and society.
Growth and Learning at Every Step: Access continuous learning through internal academies, certifications, and mentorship. Explore career mobility across roles, industries, and geographies. Be part of a “school of excellence” where your skills resonate beyond the company
Own your growth: Open access to digital learning platforms. Digital campuses on AI, Cloud, Data or Sustainability. Award winning career acceleration programs
Need to know
Work modality: remote
Flexible Schedules: We support flexible working hours to accommodate different lifestyles, time zones, and family responsibilities.
Benefits: Training, certifications, and mentorship programs
Community Engagement: Participate in local volunteering initiatives, tech meetups, and cultural events that connect you with the Capgemini community.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.