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.

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