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Build and maintain scalable Python backend services and REST APIs, contribute to React/TypeScript frontends, work with data pipelines and relational databases, support deployment/monitoring, debug full-stack customer issues, partner with product and customer success, expand test coverage and ship weekly releases.

The Senior QA Engineer will ensure product quality across UI, APIs, and backend systems, focusing on automation and testing frameworks.

Provide frontline customer support via Zendesk and internal tools, diagnose and triage time-sensitive issues using logs and data, and escalate to engineering or other teams when needed. Communicate clearly with technical and non-technical stakeholders and work Saturdays as required.

Lead end-to-end customer deployments for a distributed AI camera system: map and validate customer data pipelines, diagnose data flows across Kafka/Redis/MySQL/MongoDB, manage production configurations, build tooling to automate deployments, and communicate fixes directly to customers.

Senior Data Scientist owning end-to-end analytical problems: experiment design, predictive and inferential modeling, performance measurement, and cross-functional partnership to improve retail AI products. Duties include data acquisition, modeling, validation, auditing system outputs, building reusable statistical methods, and communicating findings to influence product and operations.

You will develop backend infrastructure using Python, collaborate with engineering teams, and manage deployments while ensuring data usability.