Responsibilities
Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
Improve system observability, resilience, and performance in high-throughput, low-latency environments.
Mentor engineers and help define best practices for data and backend engineering.
Qualifications
Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
Proven experience designing and building large-scale distributed systems and backend services.
Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).
Preferred Qualifications
Experience with Feature Infra / Feature Store architecture and operations.
Experience in Identity Graph design and construction to enhance user signal quality.
Deep familiarity with AdTech or Machine Learning infrastructure domains.
Experience working with Petabyte-scale data and high-availability systems.
Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
Region C: All other U.S. locations
Salary Ranges
Region A
$188,000—$235,000 USD
Region B
$169,200—$211,500 USD
Region C
$159,800—$199,750 USD
Supporting Your Best Work and Your Best Life
Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region.
Moloco Values
Lead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with intensity and rigor. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.
Additional Resources
Moloco Company Blog
Moloco Leadership
Moloco Newsroom
AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
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