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# Software Engineer - Adobe Experience Platform

- **Company:** Adobe Inc.
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Adobe Experience Manager, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Customer Data Management, Data Infrastructure, Distributed Data Store, Distributed Systems, Fault Tolerance, Github, Machine Learning, NoSQL, Performance Tuning, OpenAI, Prometheus, SQL Databases, Data Streaming, Aerospike, Retrieval-Augmented Generation, Snowflake, Concurrency, Apache Spark, Spring-boot, Backend, Event Driven Architecture, Adobe, Data Lakes, Kubernetes, Storage Technologies, Low Latency, Apache Flink, Real Time Data, Apache Kafka, Cosmos DB, Data Pipelines, Docker, Jenkins, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25197_fe32ed787261a17b9a5a9d8bf205f833

## About the Role

* 5+ years' experience developing large-scale distributed systems or platforms in production environments.
 * Deep expertise in backend development (Java or Scala), with advanced skills in concurrency, performance tuning, and microservices.
 * Proven track record engineering real-time data solutions using event-driven architectures (Kafka, Spark/Flink).
 * Experience designing, implementing, and operating fault-tolerant, low-latency APIs in cloud-native settings.
 * Solid understanding of storage technologies (SQL, NoSQL, key-value stores).
 * Strong analytical and problem-solving capabilities-a proven ability to deliver results within critically important systems.

Preferred Skills

 * Experience with customer data platforms, martech, adtech, or relevant verticals.
 * Background in identity resolution, segmentation, consent management, or privacy-first data architectures.
 * Hands-on with machine learning or personalization systems.
 * Working knowledge of regulatory compliance frameworks (GDPR, CCPA).
 * Demonstrated mentorship, leadership, and ability to shape architectural direction.

## Description

Drive the Evolution of Real-Time Data and AI Personalization At Adobe, innovation means reimagining how the world experiences digital at scale. Our Real-Time Customer Data Platform (RTCDP) processes trillions of events, resolving identities and driving hyper-personalized interactions within milliseconds. As a Senior Software Engineer on the Adobe Experience Platform (AEP) team, you will architect and scale systems that power global digital experiences, with an emphasis on ultra-low-latency pipelines, intelligent decisioning, and AI-driven personalization., * Architect Distributed Data Systems: Design and deliver globally distributed solutions for real-time identity resolution, consent management, and accurate customer profiles at massive scale.

 * AI & ML Personalization: Integrate cutting-edge Generative AI/ML into RTCDP for next-gen segmentation, recommendations, and live decisioning.
 * Low-Latency Data Pipelines: Engineer resilient, high-throughput data flows with Kafka, Spark, Java/Scala to guarantee SLAs across diverse user journeys.
 * Microservices at Scale: Build and maintain mission-critical, cloud-native microservices supporting trillions of queries and activations.
 * Leadership & Ownership: Lead project delivery from design through production, ensuring rigorous quality, performance, and measurable business results.
 * Mentorship: Coach and mentor junior engineers and code reviewers, fostering engineering excellence across the team.
 * Cross-Functional Collaboration: Partner with product managers, designers, and data scientists to deliver privacy-first, customer-centric solutions that align with regulatory standards.

About Your Technical Playground

 * Languages: Java, Scala
 * Frameworks: Spring Boot, Apache Spark, Apache Flink
 * Data Infrastructure: Kafka, Cosmos DB, Aerospike, FoundationDB, NoSQL systems, Delta Lake, Apache Iceberg, Snowflake
 * Cloud & Infra: Azure, AWS, Kubernetes, Docker
 * AI & Intelligence: OpenAI, Vector DBs, RAG architectures
 * DevOps: Jenkins, GitHub Actions, CI/CD pipelines, Prometheus