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.
You will:
● Build and maintain large-scale, distributed backend systems.
● Design and optimize Big Data ecosystems including Spark, Hadoop/MR, and Kafka.
● Leverage cloud-based platforms (GCP, AWS, Azure) for development and deployment.
● Implement observability practices including distributed tracing, SLOs, and SLIs.
● Write maintainable, extensible, scalable, and high-performance backend code. ● Collaborate with a global, cross-functional team to deliver projects end-to-end. ● Ensure reliability, scalability, and performance of backend infrastructure.
Your team will:
You will be part of the White Box Monitoring Development Team consisting of: 1 Team Lead Manager (TLM), 2 Backend Engineers (Level 5), and 1 Data Analyst. This team is responsible for building robust backend systems for monitoring, data processing, and event-driven architectures.
About you:
● 6+ years of experience in software engineering (backend).
● 3+ years of experience with cloud platforms (GCP, AWS, Azure).
● 2+ years of hands-on experience managing/optimizing Big Data ecosystems (Spark, Hadoop/MR, Kafka).
● Proficiency in compiled languages: Java, Scala, or Go.
● 1+ year of experience in observability practices (distributed tracing, SLIs, SLOs, SLAs).
● Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
● Strong knowledge of Object-Oriented Design (OOD) and Object-Oriented Analysis (OOA).
● Proven track record of delivering large-scale, cross-functional projects.
● Strong communication and collaboration skills, especially with remote teams. ● Passion for building reliable, scalable distributed systems.
Preferred Skills:
● Experience with real-time distributed databases (e.g., SingleStore).
● Familiarity with GCP products such as BigTable, BigQuery, Dataproc, PubSub. ● Knowledge of event systems design and implementation.
● Experience with infrastructure/deployment tools like Terraform, Kubernetes, Helm, Gradle.
● Experience designing and implementing RESTful APIs at scale.
● Strong technical knowledge of monitoring and reliability practices.
Flexible paid time off, paid holidays, options for working from home, and paid parental leave.
Comprehensive Benefits Package: LiveRamp offers a comprehensive benefits package designed to help you be your best self in your personal and professional lives. Our benefits package offers medical, dental, vision, accident, life and disability, an employee assistance program, voluntary benefits as well as perks programs for your healthy lifestyle, career growth, and more. Your medical benefits extend to your dependents including parents.
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.