Ofertas › Just Eat Takeaway.com
Just Eat Takeaway.com · London, United Kingdom · £50,000 - 80,000 per year
Salary: £50,000 - 80,000 per year Requirements: Proven experience implementing and managing data security controls in cloud-native or enterprise environments, spanning DSPM platforms, Enterprise DLP, cryptography, and data classification programs. Strong automation and scripting skills in Python and Bash/Shell, with the ability to translate security goals into working code, remediation scripts, and infrastructure-as-code. Strong track record of translating governance policies and security alerts into automated remediation workflows and CI/CD security gates while maintaining engineering velocity. Practical understanding of AI/ML data security risks, including OWASP Top 10 for LLMs, prompt injection, and training data exposure, plus experience using AI tools to automate security tasks such as alert triaging and data classification. A highly collaborative approach with the ability to build trusted partnerships across DevOps, Software Engineering, IT, and Privacy teams. Strong ability to evaluate complex data flows and translate dense security findings into clear, actionable code comments, documentation, and developer-friendly alerts. A solid understanding of data privacy regulations, including GDPR, and a strong ethical foundation for handling highly sensitive structured and unstructured data. Responsibilities: Oversee the deployment and daily management of Enterprise DLP and encryption solutions across network, cloud, endpoint, and AI environments to protect data at rest, in transit, and in use. Manage automated data discovery pipelines to ensure sensitive information is accurately mapped and protected, including AI-integrated environments such as training datasets, model inputs, and inference logs. Collaborate with the Security Architecture team to embed data protection controls, cryptography, and Infrastructure-as-Code baselines directly into CI/CD developer workflows. Translate written data security and compliance policies into executable Policy-as-Code and manage the deployment of automated guardrails and remediation scripts across cloud environments. Streamline engineering workflows by building API integrations between security scanners and ticketing systems, and use intelligent automation to parse, prioritize, and tune data security alerts. Guide engineering teams by providing automated feedback loops, clear technical documentation, and developer-friendly data protection tools that prevent leaks before deployment. Technologies: AI API Bash CI/CD Cloud