123 cyber security English-speaking jobs in Zürich

strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security

make a great impact for our clients at home and abroad, securing their lasting success and financial security

Ensure compliance with data privacy and security requirements.

competitive robotics Benefits Why CDDS Direct impact on a mission‑critical technology shaping Europe’s security

business objectives Produce robust software builds from source code, meeting defined performance and security

Anticipate and address potential risks associated with AI implementation, such as data privacy, security

Analytics, Azure Data Lake Storage, etc., including their use in data integration, analytics, governance, security

Intranet access • Coordinate with the Endpoint and Security engineers on the new Outlook client and add-in

monolithic SQL Server + MS Access setup to a modern web application, following Sika architecture and security

above‑average employer contributions to pension and social insurance, strengthening your long‑term financial security

above‑average employer contributions to pension and social insurance, strengthening your long‑term financial security

cross-stream technical risks Ensure alignment with enterprise architecture standards, data governance, and security

Since 2023, we have been combining cutting-edge AI technologies with the security, reliability, and integration

privacy regulations (e.g., GDPR, EU AI act) and a commitment to maintaining high standards of data security

mediation support and research skills, within the environment of a university-based think tank working on security

Governance, Security & Compliance Establish and enforce enterprise-wide governance frameworks covering

enterprise integration and human interaction, making informed trade-offs across capability, cost, latency, security

Python) PREFERRED QUALIFICATIONS - Knowledge of AWS services including compute, storage, networking, security

integration architecture including software and infrastructure components - considering functionality, data, security

the lifecycle, and applying technical understanding to question AI-generated output and keep quality, security