Software Engineer – Adobe Experience Platform

About the role

Drive the evolution of real-time data and AI personalization at Adobe. Architect and scale systems that power global digital experiences, focusing on ultra-low-latency pipelines, intelligent decisioning, and AI-driven personalization.

Responsibilities

• Architect distributed data systems for real-time identity resolution, consent management, and accurate customer profiles at massive scale.
• Integrate cutting-edge Generative AI/ML into RTCDP for next-gen segmentation, recommendations, and live decisioning.
• Engineer resilient, high-throughput data flows with Kafka, Spark, Java/Scala to guarantee SLAs across diverse user journeys.
• Build and maintain mission-critical, cloud-native microservices supporting trillions of queries and activations.
• Lead project delivery from design through production, ensuring rigorous quality, performance, and measurable business results.
• Mentor junior engineers and code reviewers, fostering engineering excellence across the team.
• Partner with product managers, designers, and data scientists to deliver privacy-first, customer-centric solutions that align with regulatory standards.

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.

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.

Benefits

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.

Pay

$139,000 -- $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. In California, the pay range is $177,900 - $257,550.

Schedule

Flexible hybrid work model and wellness days.