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Synopsys

EDA software for chip design

Cyber Security Engineering – Sr Staff Engineer

Security Engineering & ArchitectureUpdated on Nov 2
Full-timeUnited States

About the Job

Requirements

  • A bachelor's degree in Cybersecurity, Computer Science, Information Technology, or a related field is required.
  • At least 5 years of experience in cybersecurity, data protection, information security, or related disciplines, including at least 2 years in a senior or lead engineering role.
  • Deep hands-on expertise with Microsoft Information Protection Suite.
  • Strong experience implementing enterprise data loss prevention programs across email, endpoint, network, cloud, and software-as-a-service environments.
  • Hands-on experience with data loss prevention solutions, including cloud access security broker, inline data loss prevention, and cloud security controls.
  • Expertise in data classification methodologies, information governance, and data protection frameworks.
  • Experience securing Microsoft 365 workloads, including Exchange Online, SharePoint Online, OneDrive, Teams, and Copilot environments.
  • Understanding of data protection regulations and standards, including GDPR, CCPA, PCI-DSS, SOX, and other applicable compliance frameworks.
  • Experience with cloud platforms including Azure, AWS, and GCP.
  • A strategic and analytical approach to protecting sensitive data.
  • Ability to communicate complex security concepts to technical and non-technical audiences.
  • Ability to build partnerships across engineering, legal, compliance, privacy, and business teams.
  • Strong attention to detail, organization, and operational excellence.
  • Adaptability and commitment to continuous learning in data security.
  • High ethical standards, trustworthiness, and commitment to safeguarding organizational information assets.

Responsibilities

  • Design, implement, and optimize enterprise-wide Data Loss Prevention and Information Protection solutions.
  • Manage and enhance data protection controls across email, endpoint, cloud, network, and collaboration platforms.
  • Support deployment and administration of Microsoft Purview Information Protection, Data Loss Prevention, and Sensitivity Labeling capabilities.
  • Design and implement data security policies using Microsoft Data Protection Suite technologies, including Information Protection, Insider Risk Management, and Data Lifecycle Management capabilities.
  • Manage and optimize data loss prevention controls, including inline DLP, CASB, SaaS security, cloud application protection, and internet egress controls.
  • Develop and tune data classification frameworks, sensitivity labels, auto-labeling policies, and protection rules for structured and unstructured data.
  • Collaborate with legal, privacy, compliance, and business stakeholders to align data protection controls with regulatory requirements and business objectives.
  • Work with partner teams to investigate and resolve complex DLP incidents, policy violations, and data exposure events across enterprise environments.
  • Establish standards, best practices, and governance processes for data protection, classification, labeling, and secure data handling.
  • Support Zero Trust initiatives through data-centric security controls and continuous monitoring of sensitive information movement.
  • Automate operational processes and reporting through scripting, integrations, and security workflows.
  • Document architectures, standards, procedures, and operational runbooks, and provide technical guidance to stakeholders and engineering teams.

Desired Qualifications

  • Security certifications such as CISSP, CISM, CCSP, GIAC, Microsoft Security Certifications, or vendor-specific certifications are a plus, or willingness to obtain them.

About the Company

Synopsys

EDA software for chip design

Synopsys provides software tools and services for electronic design automation (EDA), helping engineers design, simulate, verify, and optimize semiconductor chips and systems. Its products cover the full design flow, including RTL-to-gating synthesis, place-and-route, timing analysis, verification, and silicon validation, as well as software integrity solutions and hardware-assisted verification. Engineers use these tools to model, simulate, and validate complex chip designs before manufacturing, reducing bugs and improving performance. Compared with many competitors, Synopsys differentiates itself through its broad, end-to-end design toolchain, large ecosystem of IP and integration with simulation and modeling capabilities gained from its 2025 merger with ANSYS, and its global scale and support. The company aims to help designers push the boundaries of chip and system performance, accelerate time-to-market, and enable silicon-to-systems design across a wide range of industries.

Company size
10,001+
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
1986

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