Adobe Experience Platform powers real-time data-driven customer experiences at global scale! The Konductor and Data Prep teams build and operate the core ingestion routing and schema enforcement services that process millions of events per second across Adobes Edge Network. These are highly distributed latency-sensitive systems where reliability correctness and isolation between downstream consumers are essential.
This role is perfect for engineers who enjoy large-scale distributed systems high-throughput pipelines and working with strong data contracts. Its a chance to tackle challenging problems at the platform level where every decision affects data quality latency and operational excellence.
The team designs and runs high-throughput low-latency services that power event fan-out (Konductor) and ingestion-time transformations (Data Prep). Responsibilities include ensuring reliable delivery with ordering guarantees managing backpressure implementing schema-aware transformations based on Adobes Experience Data Model (XDM) and maintaining failure isolation retries and idempotency across distributed systems. Collaboration with Edge Network Profile and downstream teams ensures ingestion contracts remain stable.
Key focus areas include:
Designing building and operating low-latency high-throughput services
Implementing and optimizing schema-aware data transformations and validations
Handling failure isolation retries and idempotency in distributed pipelines
Contributing to observability monitoring and debugging for multi-tenant data flows
Participating in architectural discussions about scalability cost efficiency and operational excellence
Supporting on-call rotations for mission-critical ingestion services
This is backend-heavy systems-focused work with minimal UI involvement ideal for engineers who love solving complex distributed problems at scale!
Strong candidates typically have:
Experience building distributed backend systems in production with proficiency in Java Kotlin Scala or similar JVM languages
Solid understanding of event-driven architectures message routing/fan-out patterns at-least-once delivery and idempotency
Hands-on experience with schema enforcement data validation and ingestion pipelines
Experience with microservices containerized deployments (Docker/Kubernetes) and high-QPS API design
Familiarity with back pressure rate limiting failure modes partitioning and horizontal scaling
Strong debugging and troubleshooting skills in distributed systems
Nice-to-have skills (advantageous but not mandatory):
Experience with streaming platforms (Kafka or similar)
Knowledge of data modeling or schema-first systems
Exposure to edge / low-latency systems
Familiarity with multi-tenant SaaS platforms
Experience with cloud platforms such as Azure or AWS
About Adobe
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Required Experience:
Senior IC