Senior Backend Engineer - Data, Spark & Cloud

LiveRamp; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

LiveRamp in San Francisco is seeking an experienced software engineer to build production-grade backend services and data-processing systems. You will work with Java, Scala, or Python across distributed architectures and modern data platforms.

The role emphasizes scalable design, CI/CD, testing, code reviews, and strong collaboration with product teams. Experience with Spark, SQL databases, cloud environments, and container orchestration is highly valued.

Qualifications

• 6+ years of professional software engineering experience building production-grade applications.
• Strong programming experience in Java, Scala, Python, or equivalent languages.
• Strong understanding of data structures, algorithms, object-oriented/design principles, and distributed systems.
• Experience building and operating backend services, APIs, and data-processing systems.
• Hands-on experience with Apache Spark or other distributed data-processing frameworks.
• Strong experience with SQL and relational databases.
• Experience working with cloud platforms and containerized environments, such as AWS/GCP, Docker, and Kubernetes.
• Experience with software engineering practices including: Unit and integration testing, CI/CD, Code reviews, Production monitoring and troubleshooting, Git-based development workflows.
• Strong problem-solving and debugging skills
• Excellent communication skills and the ability to work effectively across engineering and product teams.

Skills

Distributed systems

Java

Python

Scala

SQL

Cloud platforms

Docker

Kubernetes

CI/CD

Testing

Code reviews

Git workflows

Problem solving

Communication

Tools

Apache Spark

Job description

LiveRamp in San Francisco is seeking an experienced software engineer to build production-grade backend services and data-processing systems. You will work with Java, Scala, or Python across distributed architectures and modern data platforms.

The role emphasizes scalable design, CI/CD, testing, code reviews, and strong collaboration with product teams. Experience with Spark, SQL databases, cloud environments, and container orchestration is highly valued.