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Job Description

Codexis Inc is hiring a Senior Director to lead infrastructure strategy and cybersecurity operations across enterprise IT and enterprise AI capabilities.

  • Infrastructure roadmap ownership: Define and maintain a forward-looking roadmap for network, cloud, server, storage, endpoint, and application infrastructure aligned to IT and business priorities
  • Service operations accountability: Oversee service expectations, operating practices, and accountability for availability, performance, capacity, and lifecycle management of infrastructure services
  • Team and partner leadership: Set priorities and work allocation; coach employees and partners; contribute to performance discussions; clarify roles and build capabilities for current and future IT demands
  • Vendor and investment oversight: Oversee infrastructure vendors and service providers; support contract and budget decisions; communicate risk and performance; recommend investments based on business value and lifecycle needs
  • Network architecture and management: Lead connectivity, segmentation, remote access, perimeter services, and protection of critical environments
  • Cloud architecture and management: Lead Microsoft Azure and Microsoft 365 infrastructure and associated identity, endpoint, and security dependencies
  • Enterprise AI infrastructure design: Establish infrastructure architecture, approved platform patterns, environment controls, integration standards, capacity planning, observability, and support model for enterprise AI services and agent platforms
  • AI agent lifecycle governance: Maintain visibility into AI agents and owners; define intake, risk-tiering, development, testing, approval, publishing, change, monitoring, reassignment, and retirement expectations; ensure accountable ownership and support for production agents
  • Data governance for AI solutions: Partner with Business and IT to develop and enforce data classification, least-privileged access, approved data-source and connector controls, retention, privacy, intellectual-property, auditability, and data-loss-prevention requirements for AI
  • Security for AI services and agents: Coordinate threat modeling and security review; manage identity and secrets management; lead vulnerability management, logging, incident response, and business continuity for AI services and agents, including risks from excessive permissions, unsafe actions, unapproved integrations, and sensitive-data exposure
  • Platform operations: Guide architecture, standards, lifecycle planning, and operational performance for endpoints, servers, and storage
  • Application infrastructure enablement: Partner with application owners and business teams to deliver secure, supportable, and scalable infrastructure for enterprise and scientific applications
  • Cybersecurity leadership and integration: Provide cybersecurity leadership; oversee existing Managed Security Service Provider services; incorporate network, endpoint, server, identity, data protection, vulnerability management, incident response, and recovery requirements into infrastructure design and operations
  • Executive incident direction: Provide executive-level direction during significant infrastructure or security events; drive investigation and restoration; ensure corrective actions reduce recurrence
  • Standards and continuous improvement: Maintain architecture standards, service documentation, asset visibility, technology roadmaps, and meaningful measures for reliability, security, delivery, and continuous improvement
  • Business-facing risk translation: Translate technical options, constraints, and risks into clear recommendations for executives and cross-functional leaders

Requirements

  • Experience leading infrastructure strategy and operations across networks, cloud, servers, storage, endpoints, and application infrastructure
  • Experience translating business requirements into infrastructure architecture, roadmaps, standards, and prioritized investments
  • Experience leading teams and external service providers, including work allocation, coaching, performance input, and capability development
  • Experience managing Microsoft Azure and Microsoft 365 infrastructure or comparable enterprise cloud and productivity platforms
  • Experience with Microsoft Intune, Microsoft Purview, identity protection, AI security controls, or adjacent Microsoft security capabilities
  • Experience with Microsoft Copilot, Copilot Studio, agent administration, Power Platform governance, AI risk-management frameworks, or comparable enterprise AI platforms and controls
  • Experience directing major incidents, technical investigations, service restoration, and durable corrective actions
  • Experience defining and integrating cybersecurity, identity, vulnerability management, data protection, business continuity, and disaster recovery requirements into infrastructure decisions
  • Experience communicating technical risk, service performance, and investment recommendations to senior business and technology stakeholders
  • Education and experience appropriate to the role, such as a bachelor’s degree in information technology, computer science, engineering, or a related field, or equivalent relevant experience

Technologies

  • Microsoft Azure
  • Microsoft 365
  • Microsoft Intune
  • Microsoft Purview
  • Microsoft Copilot
  • Copilot Studio
  • Power Platform

Benefits

  • Medical, Dental and Vision Insurance
  • Basic Life, AD&D, Short- and Long-Term Disability Insurance
  • 401k with Company Match up to 4%
  • Company Equity
  • Generous Paid Time Off including 18 Company Holidays (with a summer and winter shutdown), Vacation, and Wellness Time
  • Annual Lifestyle Account for reimbursement of fitness programs, equipment and more
  • Employee Stock Purchase Program (ESPP)
  • Flexible Spending Accounts (Commuter/Parking, Dependent Care & Healthcare)
  • Student Debt Program (Company Contribution to Loans)
  • Mental Health Wellness Program
  • Subsidized onsite lunch program
  • Onsite Gym Facilities
  • Paid Parental Leave

Valuable Additional Experience

  • Experience supporting infrastructure in biotechnology, life sciences, laboratory, manufacturing, or other regulated environments
  • Experience with formal architecture, service management, risk, or cybersecurity frameworks and controls
  • Experience modernizing hybrid infrastructure, increasing automation, improving observability, or advancing cloud operating models
  • Relevant certifications in cloud, networking, infrastructure, service management, cybersecurity, or enterprise architecture
  • Experience with vendor negotiations, financial planning, and lifecycle-based technology investment
  • Experience governing enterprise AI platforms or automation solutions, including data access, identity, connectors, lifecycle controls, monitoring, security review, and cross-functional risk decisions

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