Software Engineer - Backend

Live Ramp 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, Live Ramp is setting the new standard for building a connected customer view with unmatched clarity and context while protecting precious brand and consumer trust. Live Ramp 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 Live Ramp 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.

The Identity Engine London team is a vertical within Live Ramp’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.

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.

• 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

• 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)

• 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

• 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

• 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

• 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)

• 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.

Live Ramp’s mission is to connect data in ways that matter, and doing so starts with our people. We know…