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Springer Nature ищет специалиста по кeuр WAF и защите контента для защиты от автоматизированного доступа и злоупотреблений трафиком. Ваша задача — проектировать и поддерживать политики, отслеживать инциденты и работать с Fastly и SEO-командами для сохранения легитимной индексации.
Опыт работы с Fastly/Signal Sciences, знание HTTP/TLS/CDN и умение общаться со стейкхолдерами необходимы. Желателен опыт в академическом издательстве и исследовательских платформах, а также работа с AI/agentic-quote
Springer Nature provides researchers, educators, clinicians, and other professionals with access to knowledge through books, journals, platforms, and technology solutions. Its content reaches millions of people globally, while the company works to keep knowledge discoverable and protected.
Build, operate, and continuously improve WAF signals, policies, and rules to detect and mitigate automated scraping, content extraction, and abusive traffic; Own the lifecycle of traffic protection controls, including design, testing, deployment, tuning, validation, and retirement; Implement rate-limiting, bot-management, and traffic-shaping strategies aligned with business objectives and platform requirements; Ensure protection controls do not negatively impact legitimate discoverability, accessibility, or customer experience; Turn analytical signals and intelligence into practical enforcement controls and measurable operational outcomes; Lead response activities for scraping, automated abuse, enumeration, and traffic-related incidents; Maintain operational playbooks and runbooks for detection, escalation, mitigation, and recovery; Implement controls using staged rollout approaches that balance risk reduction with customer impact; Monitor control effectiveness and continuously improve protection capabilities; Own the day-to-day technical relationship with Fastly MSS and associated content protection tooling; Review, validate, and operationalise Fastly recommendations and outputs; Work with Fastly to maximise platform capabilities and identify future improvement opportunities; Coordinate changes with stakeholders and communicate impacts, dependencies, and implementation plans; Partner with the Data Analyst to operationalise detection signals and validate outcomes; Work with SEO teams to support legitimate crawlers and discovery services; Support Product and Platform teams with traffic-aware architectural decisions; Help define organisational policies for acceptable, non-desirable, and malicious automated access; Contribute to approaches for managing AI agents, machine access, and emerging content consumption models; Build relationships with Managed Services vendor, Product, Platform Engineering, SEO, and Analytics stakeholders; Develop an understanding of existing WAF configurations, controls, and operating processes; Review recent incidents and identify immediate improvement opportunities; Establish operational playbooks and governance processes; Establish repeatable workflows for traffic anomaly detection and response; Create clear ownership and decision-making processes for content protection activities; Reduce engineering involvement in reactive mitigation activities; Deliver measurable improvements in response capability and operational readiness; Operate a mature content protection capability integrated into platform operations; Develop trusted partnerships with Fastly and internal stakeholders; Improve protection against high-volume and slow-accumulation content extraction techniques; Lay the foundations for managing AI-driven and agentic access patterns at scale; Help Springer Nature balance discoverability, content protection, and future commercial opportunities.
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