Quality Engineering Manager - Oracle Retail

Description :

The Quality Engineering Manager Retail Technology will lead the end-to-end quality strategy, automation framework, and performance validation for enterprise retail applications, with focus on Store Systems (SIM, POS, Clienteling, RFID) and Oracle Retail back-office systems (RMS, RPM, RESA).

The purpose of this role is to ensure reliable, high-performing, and defect-free releases across store and digital systems through robust automation, engineering-led quality practices, and AI-driven testing efficiency.

Job Description :

- Define and execute the quality engineering strategy for store and retail applications (POS, SIM, Clienteling, RFID, and Oracle Retail (RMS, RPM, RESA)).

- Establish test automation frameworks, performance testing, and observability-driven validation for high-volume retail transactions.

- Lead implementation of AI- and LLM-powered quality tools for intelligent defect prediction, test generation, and regression optimization.

- Collaborate with engineering and DevOps to integrate testing within CI/CD pipelines for continuous quality delivery.

- Oversee non-functional testing (performance, scalability, failover) for store and integration components.

- Partner with product and business teams to define quality KPIs and ensure alignment with business outcomes.

- Build a metrics-driven quality culture, tracking automation coverage, defect leakage, and release readiness.

- Manage and mentor QA engineers, SDETs, and automation specialists across multiple domains.

Knowledge, Skills & Experience :

- 12- 16 years of total experience, with 5+ years in quality leadership within large-scale retail or consumer technology environments.

- Hands-on experience testing Store Systems (POS, SIM, Clienteling, RFID), Oracle Retail modules (RMS, RPM, RESA) and integration flows (Metl, ACE, Kong, IBM Gateway).

- Expertise in automation frameworks (Selenium, Appium, Playwright, Cypress, or similar) and API test automation. Proven experience in performance and load testing tools (JMeter, Gatling, k6).

- Experience with AI/LLM-based quality tools for intelligent test case generation, code review, or anomaly detection.

- Familiarity with cloud-native and microservices architectures, CI/CD, and containerized testing environments.

- Strong understanding of retail application dependencies, data flows, and operational performance tuning.