We are looking for a highly meticulous, hands-on QA Engineer (Lead) to own the end-to-end quality of our product ecosystem. While our AI Data team ensures our computer vision models are accurate, your job is to ensure the entire system—from the physical edge device in a retail store to the cloud backend and the advertiser’s SaaS dashboard—works flawlessly and delivers real commercial value.
You will be the ultimate gatekeeper for our product releases. We need someone who can design a robust, repeatable QA process, but who is also deeply involved in the day-to-day testing. You won't just be managing spreadsheets; you will be digging into Linux device logs, testing API payloads, and putting yourself in the shoes of both the consumer interacting with our screens and the advertiser reviewing their campaign ROI.
If you love understanding complex, multi-tiered products at a deep technical level and are passionate about protecting the customer experience, this is the role for you.
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We are looking for a highly meticulous, hands-on Lead QA Engineer to own the end-to-end quality of our product ecosystem. While our AI Data team ensures our computer vision models are accurate, your job is to ensure the entire system—from the physical edge device in a retail store to the cloud backend and the advertiser’s SaaS dashboard—works flawlessly and delivers real commercial value.
You will be the ultimate gatekeeper for our product releases. We need someone who can design a robust, repeatable QA process, but who is also deeply involved in the day-to-day testing. You won't just be managing spreadsheets; you will be digging into Linux device logs, testing API payloads, and putting yourself in the shoes of both the consumer interacting with our screens and the advertiser reviewing their campaign ROI.
If you love understanding complex, multi-tiered products at a deep technical level and are passionate about protecting the customer experience, this is the role for you.
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Places items on hold that does not meet the specification such as incoming material, work in process, and or finished goods. Presents reasons for retention and recommends possible solution to the issue.
Inspects and calibrates equipment used in the lab. Reports non-compliance findings and recommends next step solutions to the QA Manager and facility management on a timely manner. Complies with and enforces GLPs (Good Laboratory Practices), GMP (Good Manufacturing Practices), Safety Practices, etc. Demonstrates and enforces the importance of Good Manufacturing Practices (GMP’s) and monitors diligently. Follows up with necessary corrective actions when not being followed.
Reviews, interprets, verifies, and summarizes data collected from other departments. Reports any deficiencies to QA Manager in a timely manner.
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you will be responsible for:Validation Lifecycle OwnershipLead end-to-end Computer System Validation (CSV) and Computer System Assurance (CSA) activities for GMP-critical systems, including validation planning, protocol development, execution oversight, report approval, and lifecycle management. Ensure systems are validated, maintained, and remain audit-ready throughout their lifecycle.Risk-Based ValidationApply risk-based validation principles to determine appropriate validation strategies, deliverables, and testing approaches based on system GxP classification, business criticality, and regulatory impact.
Lead and facilitate system and functional risk assessments to define validation scope, testing requirements, and compliance controls.Validation Documentation & Compliance EvidenceEnsure validation deliverables, records, evidence packages, system histories, compliance documentation, and deliverable registries are complete, traceable, maintained, and aligned with applicable procedures and regulatory expectations.Knowledge Transfer & Transition SupportEnsure validation documentation, compliance records, and system histories are properly captured and transitioned during system handovers, organizational changes, and service transitions to maintain continuity of the validated state.Qualifications & Experience Bachelor's degree or equivalent in Computer Science, Software Engineering, Information Systems, Life Sciences, Engineering, or a related discipline.
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Good technical knowledge (on processing, laboratory methods, food science, food regulations, statistics and an in-depth knowledge of Nestle Specific QA Competencies) as well as leadership and people management skills.
Strong problem analysis and troubleshooting skills
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Training Establishes in collaborations with the QA Manager, the training need for QAAs and operators of various sections, on topics such as Nestle Quality System (NQS), net weight control, sensory evaluation, alternative method, quality checks, hygiene training etc. He / She designs the training material and conducts the training sessions for QAAs and the operators.
Cost Management
Following prescribe guidelines, he / she controls analytical costs.
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