About the job
Join our team as a Senior Software Engineer – Adobe Experience Platform and drive the evolution of real-time data and AI personalization. Architect distributed systems, integrate advanced AI/ML, and lead projects delivering global digital experiences. Shape the future of customer data platforms with cutting-edge technology.
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.
Qualifications
Minimum
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
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.