Software Engineer – Adobe Experience Platform

About the role

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.

What You will Build and Drive

- 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

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

What We’re Looking For

Minimum Qualifications

- 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.