LiveRamp is the data collaboration platform of choice for the world’s most innovative companies. A groundbreaking leader in consumer privacy, data ethics, and foundational identity, LiveRamp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners. Hundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. LiveRamp is seeking a skilled, versatile Senior Security Engineer to drive the advancement and growth of our detection and automation initiatives. Reporting to the Senior Manager of Security Engineering and Operations, this role will collaborate with cross-functional teams and external partners to mitigate risks and implement security measures that safeguard sensitive data and systems against infiltration and cyberattacks. The position will also lead our incident response efforts and the development of threat detection platforms. You will: Implement threat detection logic across various security platforms, including SIEM, and other security platforms as needed. Utilize threat modeling and threat-based thinking to construct and prioritize detection use cases. Automate security workflows to streamline threat detection, including alert enrichment, triage, and response. Develop scalable data pipelines and logging infrastructure within our cloud environments using IaC. Act as an escalation point for incident response and conduct technical analysis when needed. Troubleshoot issues related to detection coverage, telemetry ingestion, and automation logic across multiple security platforms. Create and maintain architecture diagrams, data flow documentation, and standard operating procedures related to cloud infrastructure and detection pipelines. Collaborate with peer security teams and stakeholders to enhance organizational maturity. Build, maintain, and secure cloud infrastructure across multi-cloud environments, ensuring alignment with best practices for IAM, network segmentation, and monitoring. Your team will: Advance LiveRamp’s detection and response capabilities by focusing on engineering, automation, and integration with core infrastructure. Design and implement security automation to reduce alert fatigue and improve mean-time-to-response across Cloud, SaaS, and Endpoint security tooling Continuously enhance SIEM and cloud-native logging and monitoring pipelines to enable high-fidelity detections across corporate and production environments. Identify and implement scalable approaches to strengthen cloud and infrastructure security through detections, configurations, and automation. About you: Bachelor’s degree in a relevant technical discipline (e.g., Cyber Security, Computer Engineering, Computer Science, or equivalent experience). Hands-on experience with detection engineering across security platforms. Familiarity with security automation/orchestration platforms (SOAR), or equivalent tooling (Google Cloud Functions, AWS Lambda, etc.) Continuously thinking about creative ways to raise the bar on detection fidelity through strategies such as risk-based alerting or applying environmental context from various sources. You are always looking for automation opportunities, and don’t like “solving the same problem twice”. Working knowledge in securing and monitoring public cloud environments (e.g., AWS, GCP, Azure), interested in applying cloud-native detection and automation capabilities. Experienced in developing simple tooling with Python or similar programming. Strong debugging and problem-solving capabilities, especially within complex infrastructure environments. Working knowledge of network and infrastructure security technologies such as firewalls, web proxies, IDS/IPS, and their role in enterprise defense. Understanding cybersecurity risk and how it informs the development of detection and automation strategies. Clear and concise written and verbal communication, with a strong emphasis on documentation and knowledge sharing. Passionate about security, curious about the threat landscape, and eager to build scalable detection and automation capabilities. The approximate annual base compensation range is $131,500 to $203,000 . The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.