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Software Development Engineer 3 - Graph Engineering
Adobe
Uttar Pradesh, IND
Full-time
Onsite
Discovered 1 weeks ago
PythonDatabricksApache SparkGraph data modelingGraph Data Science algorithmsGraph machine learning
Free
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Role Overview
Adobe's Adobe Genuine Engineering team protects the Adobe ecosystem from fraud, abuse, and misuse with intelligent systems used worldwide.
The engineer will build a unified graph and detection systems that identify non-genuine and abusive signals across hundreds of millions of users.
The role covers graph schema, pipelines, community detection, graph machine learning, production delivery, and platform operations.
Key Skills for This Role
PythonDatabricksApache SparkGraph data modelingGraph Data Science algorithmsGraph machine learning
Full Job Posting
About the Role
Adobe's Adobe Genuine Engineering team protects the Adobe ecosystem from fraud, abuse, and misuse with intelligent systems used worldwide.
The engineer will build a unified graph and detection systems that identify non-genuine and abusive signals across hundreds of millions of users.
The role covers graph schema, pipelines, community detection, graph machine learning, production delivery, and platform operations.
Key Responsibilities
- Build and evolve a unified graph schema that merges fraud and account data sources into a consistent, rebuildable model.
- Develop graph ingestion and feature pipelines on Databricks and Spark.
- Convert raw behavioral and account events into graph nodes, edges, and properties.
- Apply community detection, centrality, and node embedding algorithms to identify abuse rings and coordinated fraud.
- Develop graph machine learning models, including Graph Neural Networks, and connect them to downstream workflows.
- Translate prototypes into scalable, reliable, observable production graph systems.
- Optimize graph modeling, query performance, and serving-side inference performance.
- Own incremental refresh, supernode handling, monitoring, and cost efficiency at scale.
- Contribute to orchestration, versioning, CI/CD, automated retraining, and production monitoring.
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