LiveRamp, a leading data collaboration platform, is seeking a Backend Software Engineer to join their team in San Francisco. This role offers an exciting opportunity to work on large-scale distributed systems handling massive amounts of data - processing 80,000 requests and 10PB of data daily.
The position requires expertise in Java development and experience with modern cloud technologies. You'll be working on critical systems including the Edge Ingestion and Partitioning Framework and Path Computation as a Service, which are fundamental to LiveRamp's data processing capabilities. The role involves collaborating with cross-functional teams to build and enhance high-performance data ingest, partitioning, graph, and edge building systems.
The ideal candidate brings 2+ years of experience in object-oriented programming and large-scale batch processing pipelines, along with strong knowledge of cloud platforms. You'll be working in a modern tech stack including Docker, Kubernetes, Terraform, GCP, Hadoop, and Spark. The team follows a Scrum-based DevOps model emphasizing continuous delivery and automation.
LiveRamp offers an attractive compensation package ranging from $131,500 to $155,000, complemented by comprehensive benefits including medical coverage, 401(k) matching, equity through ESPP, flexible work arrangements, and various perks for professional development. The hybrid work model allows you to split time between the San Francisco office and remote work.
This is an excellent opportunity for engineers passionate about big data and distributed systems to join a company at the forefront of data privacy and ethics. You'll be working on challenging technical problems while contributing to systems that process data at massive scale, all while being part of a collaborative and supportive team culture that values continuous learning and growth.