Staff Backend Software Engineer - Activations

LiveRamp; Little Rock City (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

LiveRamp is seeking a software engineer to lead the design and evolution of its petabyte-scale activation backend, including data pipelines, delta computation, workflow orchestration, and delivery systems. You will lead improvements in reliability, performance, cost efficiency, and operational excellence while mentoring engineers and collaborating across teams.

Strong data engineering and SQL skills, end-to-end pipeline ownership, cloud and container experience, and technical leadership are

Qualifications

• At least five years of production software engineering experience.
• Experience designing and delivering large-scale distributed or big data systems.
• Strong data engineering and SQL skills, end-to-end pipeline ownership, cloud and container experience, technical leadership, communication and mentoring abilities.

Responsibilities

• Lead the design and evolution of LiveRamp's activation backend, including data pipelines, delta computation, workflow orchestration, and delivery systems.
• Improve reliability, performance, cost efficiency, and operational excellence.
• Mentor engineers and collaborate across teams.

Skills

Distributed Systems

Big Data Engineering

Apache Spark

SQL

SingleStore

Google Cloud Platform

Kubernetes

Data Pipeline Design

Workflow Orchestration

Streaming Systems

Performance Optimization

Cost Optimization

Production Operations

Technical Strategy

Mentoring

AI-Enabled Development

Job description

Lead the design and evolution of LiveRamp’s petabyte-scale activation backend, including data pipelines, delta computation, workflow orchestration, and delivery systems. Improve reliability, performance, cost efficiency, and operational excellence while mentoring engineers and collaborating across teams.

Requirements: Requires at least five years of production software engineering experience and a track record designing and delivering large-scale distributed or big data systems. Candidates should bring strong data engineering and SQL skills, end-to-end pipeline ownership, cloud and container experience, technical leadership, communication, and mentoring abilities.

Key Skills:

• Distributed Systems
• Big Data Engineering
• Apache Spark
• SQL
• SingleStore
• Google Cloud Platform
• Kubernetes
• Data Pipeline Design
• Workflow Orchestration
• Streaming Systems
• Performance Optimization
• Cost Optimization
• Production Operations
• Technical Strategy
• Mentoring
• AI-Enabled Development