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Senior Director - IT Infrastructure and Cybersecurity

Codexis · Redwood City, California · United States · Hybrid

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The Senior Director, IT Infrastructure and Cybersecurity, is a senior technology leader accountable for the strategy, architecture, management and continuous improvement of Codexis Infrastructure services and Cybersecurity operations. The role combines strategic leadership with hands-on technical judgment and people leadership, translating business priorities into secure, reliable and scalable capabilities across networks, cloud, servers, storage, endpoints and application infrastructure. The successful candidate will partner across the business, guide infrastructure investment and work allocation, and ensure services are operated with appropriate resilience, security and accountability. The role also provides infrastructure leadership for enterprise Artificial Intelligence (AI) capabilities and partners with IT and Business stakeholders to govern AI data access, AI architecture and tool deployment, AI agents and associated risks. Set infrastructure strategy and architecture: Define and maintain a forward-looking roadmap for network, cloud, server, storage, endpoint and application infrastructure aligned with Codexis IT and Business priorities. Lead reliable infrastructure and end user services operations: Oversee service expectations, operating practices and accountability for the availability, performance, capacity, and lifecycle of infrastructure services. Develop the team and operating model: Set priorities and work allocation; coach employees and partners; contribute to performance discussions; clarify roles; and build the skills needed for current and future IT demands. Manage partners, investments and risk: Oversee infrastructure vendors and service providers, contribute to contract and budget decisions, communicate risk and performance, and recommend investments based on business value and lifecycle needs. Direct network and perimeter capabilities: Oversee network architecture and management, including connectivity, segmentation, remote access, perimeter services and protection of critical environments. Advance cloud and Microsoft platforms: Lead cloud architecture and management, including Microsoft Azure and Microsoft 365 infrastructure, identity, endpoint and security dependencies. Lead AI infrastructure and platform governance: Establish the infrastructure architecture, approved platform patterns, environment controls, integration standards, capacity planning, observability and support model for enterprise AI services and agent platforms. Govern AI agents and lifecycle: Maintain visibility of AI agents and their owners; define intake, risk-tiering, development, testing, approval, publishing, change, monitoring, reassignment and retirement expectations; and ensure production agents have accountable ownership and support. Strengthen AI data governance and security: Partner with Business and Information Technology team to develop and enforce data classification, least-privileged access, approved data-source and connector…