Adobe is building a Real-Time Customer Data Platform (CDP) that operates at a scale most companies never see. We aren't just building another "enterprise app"; we are managing trillions of events and solving complex state problems in real-time.
If you find "distributed systems" a lifestyle rather than a buzzword, we want to talk. We are currently tackling challenges in high-throughput streaming, identity resolution at scale, and sub-millisecond data retrieval.
The Stack:
Core: Java, Scala, Spring Boot
Compute/Stream: Spark, Flink, K8s
Storage/Messaging: Kafka, FoundationDB, Aerospike, Cosmos DB, Delta Lake
The "8+ Years" Profile: You’ve spent a decade breaking and fixing large-scale distributed systems.
Concurrency & Performance: You don’t just write code; you tune it. You understand the JVM, memory models, and how to squeeze performance out of every thread.
Architecture: Experience with Flink/Kafka/Spark isn't just about using the API—it's about knowing how they fail and how to keep them running under massive load.
The Logistics:
Locations: San Jose, New York, or San Francisco (Hybrid/Onsite).
Comp: $177,900 – $257,550 base + Equity + Adobe’s notoriously good benefits.
How to Apply:
Email me directly at skatkar@adobe.com with "HN: [Your Name]" in the subject line.
Adobe | Senior Software Engineer (Real-Time Customer Data Platform) | Full-Time | ONSITE – (San Jose, CA)
My team at Adobe is hiring senior engineers to scale the Real-Time Customer Data Platform, which processes trillions of events to power real-time personalization for global brands. This is deep, low-latency distributed systems work — not typical enterprise app dev.
We use: Java, Scala, Spring Boot, Kafka, Spark, Flink, Cosmos DB, Aerospike, FoundationDB, Delta Lake, K8s, Azure/AWS, Docker, OpenAI, Vector DBs.
Looking for:
• 5+ years building large-scale distributed or streaming systems
Adobe is building a Real-Time Customer Data Platform (CDP) that operates at a scale most companies never see. We aren't just building another "enterprise app"; we are managing trillions of events and solving complex state problems in real-time.
If you find "distributed systems" a lifestyle rather than a buzzword, we want to talk. We are currently tackling challenges in high-throughput streaming, identity resolution at scale, and sub-millisecond data retrieval.
The Stack:
Core: Java, Scala, Spring Boot
Compute/Stream: Spark, Flink, K8s
Storage/Messaging: Kafka, FoundationDB, Aerospike, Cosmos DB, Delta Lake
Infrastructure: Multi-cloud (Azure/AWS), Docker, Vector DBs
What we’re looking for:
The "8+ Years" Profile: You’ve spent a decade breaking and fixing large-scale distributed systems.
Concurrency & Performance: You don’t just write code; you tune it. You understand the JVM, memory models, and how to squeeze performance out of every thread.
Architecture: Experience with Flink/Kafka/Spark isn't just about using the API—it's about knowing how they fail and how to keep them running under massive load.
The Logistics:
Locations: San Jose, New York, or San Francisco (Hybrid/Onsite).
Comp: $177,900 – $257,550 base + Equity + Adobe’s notoriously good benefits.
How to Apply: Email me directly at skatkar@adobe.com with "HN: [Your Name]" in the subject line.
Official Link: https://careers.adobe.com/us/en/job/ADOBUSR160198EXTERNALENU...