Software Engineer – Adobe Experience Platform

Adobe•San Jose, CA

1d•Hybrid

About The Position

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Senior Software Engineer – Adobe Real-Time Customer Data Platform 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. At Adobe RTCDP, you'll work with a modern stack built for scale, speed, and intelligence: 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

Requirements

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.

Nice To Haves

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.

Responsibilities

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.