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About the Role

The Platform Engineer - Content Protection role is responsible for translating analytical insights and content protection strategies into operational controls. This role owns the design, implementation, and operation of traffic management and content protection controls to maximize 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.

Responsibilities

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 are effective without negatively impacting legitimate discoverability, accessibility, or customer experience.
Translate analytical signals and intelligence into practical enforcement controls and measurable operational outcomes.
Lead response activities related to 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, balancing risk reduction with customer impact.
Monitor the effectiveness of controls and continually improve protection capabilities.
Own the day-to-day technical relationship with Fastly MSS and associated content protection tooling.
Review, validate, and operationalize Fastly recommendations and outputs.
Collaborate with Fastly to maximize value from platform capabilities and identify future improvement opportunities.
Coordinate changes with stakeholders and communicate impacts, dependencies, and implementation plans.
Partner closely with the Data Analyst to operationalize detection signals and validate outcomes.
Work with SEO teams to ensure legitimate crawlers and discovery services remain appropriately supported.
Support Product and Platform teams with traffic-aware architectural decisions.
Help define organizational policies related to acceptable, non-desirable, and malicious automated access.
Contribute to future approaches for managing AI agents, machine access, and emerging content consumption models.

Requirements

Build strong relationships with Managed Services vendor, Product, Platform Engineering, SEO, and Analytics stakeholders within 1-3 months.
Develop an understanding of existing WAF configurations, controls, and operating processes within 1-3 months.
Review recent incidents and identify immediate improvement opportunities within 1-3 months.
Begin establishing operational playbooks and governance processes within 1-3 months.
Establish repeatable workflows for traffic anomaly detection and response within 3-6 months.
Create clear ownership and decision-making processes for content protection activities within 3-6 months.
Reduce engineering involvement in reactive mitigation activities within 3-6 months.
Deliver measurable improvements in response capability and operational readiness within 3-6 months.
Operate a mature content protection capability integrated into platform operations within 6-12 months.
Develop trusted partnerships with Fastly and internal stakeholders within 6-12 months.
Improve protection against both high-volume and slow accumulation content extraction techniques within 6-12 months.
Lay the foundations for managing AI-driven and agentic access patterns at scale within 6-12 months.
Help Springer Nature balance discoverability, content protection, and future commercial opportunities within 6-12 months.
Hands-on WAF engineering experience, ideally with Fastly Next-Gen WAF (Signal Sciences) or equivalent platforms.
Experience implementing bot management, rate limiting, and traffic management controls.
Experience responding to scraping, DDoS, automated abuse, or similar traffic-management incidents.
Strong understanding of HTTP, TLS, CDN, and edge technologies.
Ability to balance security, operational, and business considerations when designing controls.
Strong stakeholder management and communication skills.
Experience with Fastly, Signal Sciences, edge compute, or similar technologies.
Experience working alongside security operations or managed security services teams.
Experience with entitlement, identity, or access-management systems.
Understanding of SEO, crawler behavior, and digital discoverability ecosystems.
Experience in academic publishing, research platforms, or content-rich digital businesses.
Experience working with emerging AI, agentic, or machine-access use cases.

Skills

WAF engineering
Fastly Next-Gen WAF (Signal Sciences)
Bot management
Rate limiting
Traffic management
Incident response
HTTP
TLS
CDN
Edge technologies
Stakeholder management
Communication
Fastly
Signal Sciences
Edge compute
Security operations
Managed security services
Entitlement systems
Identity management systems
Access management systems
SEO
Crawler behavior
Digital discoverability
AI
Agentic technologies
Machine access

Experience Level

1-3 Months
3-6 Months
6-12 Months

About the Company

Springer 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.