Software Engineer - Backend

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.

About The Team

The Identity Engine London team is a vertical within LiveRamp’s Identity Engine product. We build systems that allow customers to configure customized identity resolution rules and algorithms on their first-party data.

The team owns the orchestration and data-processing layers responsible for building Identity Graphs on customer’s first-party data, operating at scale in cloud-native environments.

Role Overview

We are looking for a mid-level Software Engineer with strong technical fundamentals and hands-on experience developing Apache Spark applications and RESTful APIs in cloud-native environments.

This role requires strong analytical thinking, a production-first mindset, and willingness to participate in an on-call rotation supporting customer-facing systems. You will collaborate closely with senior engineers, data engineers, and platform teams to deliver scalable, reliable, and performant solutions running on GCP and AWS.

Key Responsibilities

Application Development

• Design, develop, and maintain Apache Spark applications for large-scale data processing and analytics
• Build and maintain RESTful APIs using Spring Boot, following best practices for clean architecture, security, and scalability
• Implement data pipelines and services that are resilient, testable, and cloud-ready
  
  

Cloud & Platform

• Develop and deploy applications in cloud-native environments (GCP and AWS)
• Work with containerized workloads and managed services (e.g., Kubernetes, cloud storage, IAM, Dataproc/EMR, monitoring)
  
  

Data & Analytical Thinking

• Apply strong analytical thinking to understand datasets, business logic, and processing requirements
• Debug data quality issues, performance bottlenecks, and processing failures
• Collaborate with stakeholders to translate analytical and product requirements into technical solutions
  
  

Production Support

• Participate in an on-call rotation to support production systems
• Troubleshoot and resolve incidents while minimizing customer impact
• Perform root cause analysis and implement preventive fixes
  
  

Engineering Excellence

• Write clean, maintainable, and well-tested code
• Participate in code reviews and technical discussions
• Follow CI/CD practices and contribute to automation and tooling improvements
• Document system designs, APIs, and operational procedures
  
  

About You

• 3+ years of experience as a Software Engineer
• Understanding batch and/or streaming data processing practices.
• Hands-on experience building REST APIs with Spring Boot
• Experience working in AWS and/or GCP environments
• Understanding of CI/CD pipelines and deployment workflows
• Strong problem-solving and analytical skills
• Comfortable supporting production systems and participating in on-call rotations
• Strong Computer Science fundamentals, including knowledge of data structures and algorithms, their time & space complexities (Big O notation)
  
  

Bonus Points

• Experience with Agile software development and the Product Development Lifecycle
• Experience with Kubernetes and Google Cloud Platform
• Additional hands-on experience with Apache Spark
  
  

This role requires two days in office attendance in Holborn.

More About Us

LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles—one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

To all recruitment agencies: LiveRamp does not accept agency resumes. Please do not forward resumes to our jobs alias, LiveRamp employees or any other company location. LiveRamp is not responsible for any fees related to unsolicited resumes.