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Salary
$20k – $54k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
LiveRamp is a data collaboration platform headquartered in San Francisco, California, and founded in 2011. The company provides an AI-powered platform for identity resolution, data onboarding, and secure data sharing through its proprietary RampID technology and clean room solutions. It serves a global network of brands, agencies, and publishers across industries such as retail, healthcare, and financial services, operating as a publicly traded entity on the New York Stock Exchange.

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:

Design, build, and maintain ML and data workflows that use BigQuery, GCS, and related cloud services to support internal products and downstream consumers.

Develop backend services, pipeline components, and shared libraries used by our agentic platform.

Build and strengthen observability for production workflows, including monitoring, alerting, retry behavior, timeout handling, and operational diagnostics.

Work closely with engineers and cross-functional partners to turn product requirements into robust technical solutions.

Participate in team operations, incident response, and on-call or support rotations as needed for shared production systems.

Your Team will:

  • Own and evolve the ML and data workflows behind our Identity resolution product, including pipeline reliability, data quality, deployment confidence, and operational visibility.
  • Support shared agentic platform capabilities used by multiple teams, with clear ownership of common services and escalation paths for infrastructure dependencies.
  • Partner globally across time zones with teams in engineering, infrastructure, and product to deliver high-impact systems from India.

About you:

  • You have 3+ years professional software engineering experience building backend systems, data pipelines, or ML infrastructure in production environments.
  • You are strong in at least one programming language commonly used for backend or data systems such as Python.
  • You have experience working with SQL and data processing systems, and you are comfortable developing against warehouse-scale datasets.
  • You have experience with Airflow or similar orchestration framework.
  • You have hands-on experience with cloud-native data tooling, especially BigQuery, GCS, or similar managed storage and compute services.
  • You understand how to build reliable systems with monitoring, alerting, retries, timeouts, validation checks, and safe failure handling.
  • You can debug production issues methodically and improve systems based on operational signals and recurring failure modes.
  • You communicate clearly, collaborate well across teams, and take ownership of outcomes.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Preferred Skills:

  • Experience with CI/CD, deployment gates, and regression test automation for data or ML systems.
  • Familiarity with ML platform patterns, feature or model-adjacent workflows, and internal platform libraries.
  • Experience operating systems that span multiple external dependencies and shared infrastructure layers.
  • Exposure to agentic platform or AI-adjacent infrastructure is a plus.

Benefits:

  • 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.

More about us:

LiveRamp’s mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.

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.

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