{"id":58499,"url":"https://alion.io/job/springernature-platform-engineer-content-protection","title":"Platform Engineer - Content Protection","company":{"id":4699,"name":"Springer Nature","domain":"springernature.com","url":"https://alion.io/company/springernature","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":10,"ghost_share":0,"stale_share":0.3,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-17T05:46:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Berlin, Germany","Lisbon, Portugal"],"countries":["GB","DE","PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":68000,"max_usd":150000,"period":"year","method":"role_country_seniority_unknown","sample_n":188},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fastly","optional":false},{"name":"Incident Management","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-08-14","last_verified_at":"2026-10-16T07:52:38Z","board_verified":true,"closed_at":null,"days_open":64,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":64},"description":"Platform Engineer - Content Protection\nAbout the Springer Nature Group\nSpringer Nature opens the doors to discovery for researchers, educators, clinicians, and other professionals. Every day, around the globe, our imprints, books, journals, platforms, and technology solutions reach millions of people. For over 175 years our brands and imprints have been a trusted source of knowledge to these communities. As AI, machine intelligence and agentic technologies reshape how research is discovered and consumed, we have a responsibility to ensure knowledge remains both discoverable and protected.\nAbout the role\nThe way academic research is communicated is changing rapidly. Increasingly, Springer Nature content is being accessed through search engines, discovery platforms, AI-powered services, machine agents and content aggregation ecosystems. This creates significant opportunities to extend the reach and impact of research, but also introduces new challenges around content extraction, automated access, platform stability and commercial value protection. \nThe Platform Engineer - Content Protection role sits within the Off-platform Discovery and Content Protection team and is responsible for turning analytical insight and content protection strategy into operational controls. Working closely with the Data Analyst, Product Manager, Managed Security Services, SEO teams, Product teams and Platform Engineering teams, this role owns the design, implementation and operation of traffic management and content protection controls. \nThe role is responsible for ensuring Springer Nature can maximise discoverability while protecting content, platform performance and future business models. You will continuously evolve controls and responses to address emerging forms of automated access, including AI-driven and agentic technologies, while ensuring legitimate users retain access to our platforms and content.\nResponsibilities\nContent Protection Execution & Operational Ownership\nBuild, operate and continuously improve WAF signals, policies and rules that detect and mitigate automated scraping, content extraction and abusive traffic. \nOwn the lifecycle of traffic protection controls including design, testing, deployment, tuning, validation and retirement. \nImplement rate-limiting, bot-management and traffic-shaping strategies aligned to business objectives and platform requirements. \nEnsure protection controls are effective without negatively impacting legitimate discoverability, accessibility or customer experience. \nTurn analytical signals and intelligence into practical enforcement controls and measurable operational outcomes. \nIncident Management & Response\nLead response activities relating to scraping, automated abuse, enumeration and traffic-related incidents. \nMaintain operational playbooks and runbooks for detection, escalation, mitigation and recovery. \nImplement controls using staged rollout approaches, balancing risk reduction with customer impact. \nMonitor effectiveness of controls and continually improve protection capabilities. \nFastly Partnership & Vendor Management\nOwn the day-to-day technical relationship with Fastly MSS and associated content protection tooling. \nReview, validate and operationalise Fastly recommendations and outputs. \nWork with Fastly to maximise value from platform capabilities and identify future improvement opportunities. \nCoordinate changes with stakeholders and communicate impacts, dependencies and implementation plans. \nCross-functional Collaboration & Future Capability Development\nPartner closely with the Data Analyst to operationalise detection signals and validate outcomes. \nWork with SEO teams to ensure legitimate crawlers and discovery services remain appropriately supported. \nSupport Product and Platform teams with traffic-aware architectural decisions. \nHelp define organisational policies relating to acceptable, non-desirable and malicious automated access. \nContribute to future approaches for managing AI agents, machine access and emerging content consumption models. \nWhat's Expected In 1-3 Months:\nBuild strong relationships with Managed Services vendor, Product, Platform Engineering, SEO and Analytics stakeholders. \nDevelop an understanding of existing WAF configurations, controls and operating processes. \nReview recent incidents and identify immediate improvement opportunities. \nBegin establishing operational playbooks and governance processes. \nBy 3-6 Months you will:\nEstablish repeatable workflows for traffic anomaly detection and response. \nCreate clear ownership and decision-making processes for content protection activities. \nReduce engineering involvement in reactive mitigation activities. \nDeliver measurable improvements in response capability and operational readiness. \nBy 6-12 Months you will:\nOperate a mature content protection capability integrated into platform operations. \nDevelop trusted partnerships with Fastly and internal stakeholders. \nImprove protection against both high-volume and slow accumulation content extraction techniques. \nLay the foundations for managing AI-driven and agentic access patterns at scale. \nHelp Springer Nature balance discoverability, content protection and future commercial opportunities. \nEssential Skills & Experience\nHands-on WAF engineering experience, ideally with Fastly Next-Gen WAF (Signal Sciences) or equivalent platforms. \nExperience implementing bot management, rate limiting and traffic management controls. \nExperience responding to scraping, DDoS, automated abuse or similar traffic-management incidents. \nStrong understanding of HTTP, TLS, CDN and edge technologies. \nAbility to balance security, operational and business considerations when designing controls. \nStrong stakeholder management and communication skills. \nDesirable\nExperience with Fastly, Signal Sciences, edge compute or similar technologies. \nExperience working alongside security operations or managed security services teams. \nExperience with entitlement, identity or access-management systems. \nUnderstanding of SEO, crawler behaviour and digital discoverability ecosystems. \nExperience in academic publishing, research platforms or content-rich digital businesses. \nExperience working with emerging AI, agentic or machine-access use 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