Senior Service Engineer - Fraud Detection & Security Engineering

Identify anomalous trends and systemic patterns across disparate data sources (traffic, campaigns, domains, applications, partner signals), uncovering underlying threat vectors and ecosystem risks. Drive mitigation of traffic quality, policy, and security risks, proactively responding to evolving threats and continuously improving detection and investigation methodologies. Apply advanced investigative, data analysis, and AI-assisted techniques to connect signals across escalations, enabling end-to-end understanding and resolution of complex issues. Capture, analyze, and interpret security and platform events using standard and custom forensic systems, and develop automation and tooling to improve investigation efficiency and scale. Lead post-launch investigations and quality reviews for new features and high-risk scenarios, identifying gaps and driving improvements to platform integrity, resiliency, and observability. Design and deliver scalable, production-grade mitigation solutions—including services, automation, and AI-driven workflows—in partnership with engineering, business, and operations teams. Own resolution of complex technical risk exposure, driving execution through to durable, system-level fixes and platform improvements. Act as a technical expert and advisor, influencing stakeholders across engineering and business, sharing knowledge, and helping drive consistent application of security, AI, and engineering best practices. Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 7+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls. OR equivalent experience. 3+ years' experience of search, display and/or native advertising experience or working in a technical organization, preferably in the online industry for a high-volume commercial website or service. 3+ years' experience in data analysis and use of statistical software, working with large-scale datasets to identify patterns and anomalies. 3+ years' knowledge of ad fraud detection, cybersecurity, or online forensics techniques and tools, with experience investigating and mitigating complex security risks. Experience with programming languages such as Python, C#, Java, or R for scripting, automation, and building scalable tools and services. Familiarity with machine learning and AI concepts and their application in fraud detection, anomaly detection, and investigation workflows. Experience in web technologies (HTML, CSS, JavaScript) and online tracking mechanisms, including cookies, server-side tracking, and modern privacy-aware data signals. Excellent problem-solving skills and the ability to think critically in complex, ambiguous scenarios. Collaborative and positive team members with the ability to work effectively across technical, security, and business stakeholders. Customer-focused, anticipating, resolving, and responding to customer and ecosystem needs. Must possess solid English language skills (speaking, reading, writing, presenting) and ability to give instructions and directions, document, present, and communicate complex technical issues to both technical experts and non-technical audiences at all levels within organizations. Occasional night and weekend on-call work.