SHEIN is seeking to enhance its global security operations by building robust, scalable, and secure AI solutions to protect its global operations across cloud and on-prem environments.
Requirements
- Proficiency in one or more scripting/programming languages (e.g., Python, C++, Bash).
- Hands‑on experience with ML frameworks and libraries: OpenCV, PyTorch, TensorFlow, Detectron2.
- Knowledge of design, implementation, maintenance, and operations on AWS, or comparable cloud platforms (Azure, GCP).
- Practical understanding of industry IT/security standards and regulations; able to embed security and privacy into system design.
- Experience building AI‑powered user interfaces that improve SecOps usability and outcomes.
- Proven ability to develop AI microservices that interact with REST APIs; automate for performance, observability, and security.
- Track record of integrating and deploying AI with enterprise applications; owning rollout, validation, and monitoring.
Responsibilities
- Identify, research, and architect AI/automation solutions for complex enterprise network and security applications.
- Design and ship responsive, intuitive AI interfaces that accelerate SecOps workflows and decision‑making.
- Build and operate AI components and microservices that integrate with REST APIs for efficiency, observability, and security.
- Lead as an individual contributor security initiatives, including technology evaluation and solution design.
- Ensure security by design; implement and enforce information security best practices aligned with industry standards and applicable laws.
- Deploy and integrate AI solutions with leading enterprise platforms; drive reliable rollout, monitoring, and continuous improvement.
- Sustain high‑availability services; meet business‑wide SLOs and operational support objectives with strong observability and incident response.
Other
- Bachelor’s degree in Computer Science or related field, or 5+ years of equivalent experience is preferred.
- 2–5 years of relevant AI experience is preferred.
- Clear, current documentation and runbooks; disciplined change‑management with status and key metrics reporting.
- Ability to work with highly technical teams and sensitive information with discretion, integrity, sound judgment, and maturity.
- Operated services to defined SLOs with incident handling and mitigation in production environments.
