Description
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
- 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.
- 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.
What We Offer
- Competitive compensation
- Equity awards and annual incentive plans
- Comprehensive health, dental, vision, and mental wellness coverage
- Learning budgets and career development support
- Generous parental leave and family support programs
- Flexible hybrid work model and wellness days