LiveRamp is shaping the future of responsible data collaboration between the world’s leading brands, retailers, financial services providers, and healthcare innovators. As consumers embrace new AI-driven experiences, the LiveRamp data collaboration network exponentially expands the breadth and accuracy of the data on which marketing AI capabilities operate, powering deeper customer insight and measurable performance on a global scale. LiveRamp is headquartered in San Francisco, California, with offices worldwide. Learn more at LiveRamp.com.
We on the Identity Engineering team maintain the graph processing engine that connects the trillions of different identifiers for consumers and the devices they use online. Help us process this trillion edge graph as quickly and efficiently as possible.
We handle product requests and enhancements, focusing on scalability, modernization, performance, cost, security, legal compliance, reliability, and quality. Projects include architectural refreshes like POCs for batch data processing, developing new REST APIs, and migrating applications to Spark and SingleStore. These initiatives aim to improve processing speed, scalability, maintainability, and cost-effectiveness.
You will:Lead complex problems, by breaking into their essential components, design and implement elegant solutions focussing on value delivered.
Deliver on the problems problems by collaborating with the team and cross functional teams
Modernize our applications to be modular, scalable by leveraging the latest stack
Collaborate closely with product managers, and other engineers to deliver high-quality software
Design with privacy and security-first principles and err on the side of shipping fast and iterating.
6+ years of professional software development experience, primarily focused on big data technologies.
3+ years of experience writing and optimizing large-scale batch processing using Spark/Hadoop or similar
3+ years of Java , SQL programming skills
2+ years of experience using cloud based platforms such as GCP, AWS, Azure or similar technologies.
Experience with technologies like Docker, Terraform and/or Kubernetes
Startup personality and enjoy working as part of a team: smart, ethical, friendly, hard-working, and productive.
Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub or other data tools like Kafka, Hive, or Apache Beam
Experience with development tools such as Terraform, Kubernetes, Helm, or Gradle
Experience with designing and implementing interfaces and infrastructure for large scale systems and RESTful APIs
The approximate annual base compensation range is $130,000 to $196,500. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
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.
Skills Required
- 6+ years of professional software development experience, primarily focused on big data technologies
- 3+ years of experience writing and optimizing large-scale batch processing using Spark, Hadoop, or similar technologies
- 3+ years of Java programming experience
- 3+ years of SQL programming experience
- 2+ years of experience using cloud-based platforms such as GCP, AWS, Azure, or similar technologies
- Experience with Docker, Terraform, and/or Kubernetes
- Experience with GCP products such as BigTable, BigQuery, Dataproc, and PubSub, or data tools such as Kafka, Hive, or Apache Beam
- Experience with Terraform, Kubernetes, Helm, or Gradle
- Experience designing and implementing interfaces and infrastructure for large-scale systems and RESTful APIs
- Collaborative, ethical, hardworking, productive, and adaptable startup-oriented approach
LiveRamp Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about LiveRamp and has not been reviewed or approved by LiveRamp.
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Retirement Support — Retirement programs include a dollar‑for‑dollar 401(k) match up to 6% with no vesting. Feedback suggests this level of matching is stronger than many peers and a clear financial pillar.
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Healthcare Strength — Health coverage offers multiple employer‑verified medical, dental, and vision options, alongside disability coverage and other core protections. Feedback suggests the breadth and depth of plan choices are well‑regarded in the U.S.
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Parental & Family Support — Paid parental bonding leave for all new parents is available, with additional resources such as backup care and family‑forming support. Feedback suggests these offerings materially support caregiving needs and work‑life balance.
LiveRamp Insights
What We Do
Those who want to make a lasting impact in all that they do will find a home at LiveRamp—an inclusive, collaborative environment where exceptional talent is nurtured and championed. If you love collaborating with great people to solve complex problems and champion innovative ideas, view our career opportunities and consider joining our team!
