Quality Engineer (CPC)

Job Description We are seeking an experienced Quality Engineer to support the Mexico rollout of a next‑generation Point of Sale (POS) platform, powered by Cloud Powered Checkout (CPC) on the backend and Checkout Streamline (CoStl) on the frontend. This role is critical to ensuring a seamless, reliable, and compliant checkout experience as we modernize legacy systems, enable Self‑Checkout (SCO), and onboard the Conflux item maintenance platform across the MX market. The QE will work closely with engineering, product, integration, and store operations teams to validate complex, distributed, and production‑critical systems. Key Responsibilities Quality Strategy & Execution Develop and execute comprehensive test strategies and test plans covering functional, integration, regression, and non‑functional testing Perform risk‑based testing for high‑impact checkout, payments, promotions, and tax flows Ensure feature and data parity validation between legacy systems and new CPC / CoStl / Conflux platforms POS & Checkout Validation Validate end‑to‑end checkout flows, including: item scanning, pricing, promotions, taxes, and restrictions tendering, payments, refunds, and voids Self‑Checkout (SCO) exception handling and attendant workflows Validate Mexico‑specific requirements such as: MX tax (IVA) calculations and rounding rules regulated item restrictions utility payments and localized functionality Integration & Event‑Driven Testing Test integrations with: OMS (OnDemand ecommerce fulfillment) Promotions platforms (QuickSilver or Pangea) Downstream systems (BCT, SAPCAR, Global Interfaces) Validate event‑driven and asynchronous workflows, including message ordering, retries, idempotency, and failure handling Conflux & Data Validation Validate onboarding of Conflux services (Shuttle, Resolver, Disseminator, Store‑Bridge) Test item maintenance and data dissemination pipelines Perform ETL and data integrity validation supporting Flex POS and downstream consumers Automation & Tooling Design and maintain automated tests across UI, API, and integration layers Build and execute automated regression suites within CI/CD pipelines Reduce test flakiness and improve test reliability and coverage Hardware & Store Environment Testing Validate integration with store hardware (scanners, scales, printers, pin pads) Test real‑world store scenarios such as: intermittent connectivity device failures offline/online transitions Production Readiness & Observability Validate logging, monitoring, alerts, and dashboards Support go‑live readiness through: performance and load testing failure and timeout scenarios production validation and smoke testing Participate in production issue triage, root cause analysis, and post‑incident reviews We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 5+ years of experience as a Quality Engineer, SDET, or similar role Strong experience testing retail POS or checkout systems (SCO experience strongly preferred) Hands‑on experience with: API testing (REST, async workflows) UI testing for modern web applications Experience testing distributed, cloud‑based systems Strong understanding of: payments, promotions, taxes, and pricing flows event‑driven architectures (Kafka or similar) Solid SQL skills for data validation and reconciliation Experience working in Agile / Scrum environments Excellent analytical, debugging, and communication skills Experience with CPC, CoStl, or Conflux platforms Exposure to Kafka, messaging systems, or stream processing Hardware‑in‑the‑loop testing experience Performance and resilience testing experience Familiarity with observability tools (Splunk, Datadog, Grafana, New Relic, etc.) Experience supporting international market rollouts Knowledge of CI/CD pipelines and cloud environments (Azure, AWS, or GCP)