Staff Software Engineer, Clean Room

LiveRamp, Inc.•San Francisco, CA
•$156,500 - $235,000

About The Position

LiveRamp’s Clean Room team designs and expands the core software behind its Clean Room ecosystem, creating a secure and dependable environment for data collaboration. The team builds distributed systems for privacy-focused computation and resilient platform functionality, partnering across engineering and product to address complex technical challenges, streamline developer workflows, and improve the end-user experience. The Staff Software Engineer will design, build, and sustain scalable software and infrastructure for the data collaboration ecosystem; lead technical strategy and global deployment of distributed platform components and backend services; and translate product requirements into execution plans, roadmaps, and measurable goals. The role drives architecture reviews and engineering practices that strengthen security, maintainability, and reliability, while collaborating with security, privacy, and product stakeholders to deliver capabilities across the development lifecycle. The position also provides technical leadership and mentorship, improves operational workflows and CI/CD pipelines, uses performance metrics and operational analytics to guide priorities, and helps troubleshoot and prevent outages affecting mission-critical services. The engineer will influence platform investments and broader engineering strategy across the organization.

Requirements

  • 8+ years of professional software engineering experience, including a track record of deploying and managing large-scale production environments.
  • Extensive experience architecting, implementing, and maintaining high-scale backend services and distributed systems.
  • Demonstrated ability to lead technical initiatives requiring coordination across multiple engineering teams or complex workstreams.
  • Exceptional proficiency writing robust, clean code in one or more modern programming languages.
  • Deep understanding of system architecture, API design, data modeling, and service-oriented frameworks.
  • Commitment to engineering excellence through rigorous testing, peer reviews, system observability, and operational best practices.
  • Ability to collaborate with product stakeholders and engineering peers to deliver impactful, high-stakes features.
  • Ability to break down ambiguous technical challenges into actionable roadmaps and phased execution plans.
  • Strong written and verbal communication skills, with the ability to influence technical strategy and alignment.
  • Degree in Computer Science, Software Engineering, or an equivalent technical field of study.

Nice To Haves

  • Experience designing and scaling high-volume data pipelines and modern workflow orchestration systems.
  • Hands-on experience building and maintaining cloud-native infrastructure and containerized deployment pipelines.
  • Domain expertise in privacy-centric architectures, data clean rooms, analytical frameworks, or large-scale data platforms.
  • Success working with strict security protocols, regulatory compliance, and privacy standards in complex environments.
  • Leadership in improving engineering productivity through technical mentorship, code quality, and process refinement.
  • Ability to balance short-term product deliverables with long-term platform strategy and technical vision.

Responsibilities

  • Design, build, and sustain scalable software and infrastructure for the privacy-centric data collaboration ecosystem.
  • Lead the technical strategy and global deployment of distributed platform components and backend services.
  • Translate high-level product requirements into execution plans, engineering roadmaps, and measurable goals.
  • Drive technical architecture reviews and promote practices that improve system security, maintainability, and reliability.
  • Partner with security, privacy, and product stakeholders to deliver capabilities across the development lifecycle.
  • Provide technical leadership, design feedback, and code mentorship to engineering talent.
  • Improve developer efficiency by reducing friction in operational workflows, automated testing, and CI/CD deployment pipelines.
  • Use system performance metrics and operational analytics to guide roadmap priorities and improve product quality.
  • Troubleshoot, resolve, and prevent operational outages to maintain high availability for mission-critical services.
  • Influence platform investments and overarching engineering strategies across the organization.
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