Senior Software Development Engineer

Adobe•San Jose, CA

10h

About The Position

Adobe Journey Optimizer (AJO), part of Adobe Experience Platform, enables enterprises to deliver real-time, personalized customer journeys at global scale. The platform operates on event-driven architectures and low-latency data systems, requiring robust, scalable backend infrastructure. We are looking for a Senior Software Development Engineer to lead the design and evolution of core backend systems powering journey orchestration and decisioning. This role involves owning end-to-end system architecture, driving innovation in distributed systems and real-time data processing, and influencing technical direction across teams. You will work on complex, high-impact problems spanning stream processing, data storage, and intelligent system design, contributing to the long-term evolution of Adobe Experience Platform. In addition, you will play a key role in integrating AI-driven capabilities into AJO, including enabling intelligent decisioning, personalization, and next-generation user experiences powered by machine learning and generative AI.

Requirements

BS/MS in Computer Science, Electrical Engineering, Data Science, or a related field
6–10+ years of experience building and operating distributed systems in production environments
Strong expertise in Java backend development and system design
Proven experience designing and scaling: Event-driven systems (Apache Kafka or equivalent)
Proven experience designing and scaling: NoSQL databases (e.g., MongoDB)
Proven experience designing and scaling: Low-latency key-value stores (e.g., Aerospike, Redis)
Strong understanding of distributed systems concepts, including concurrency, fault tolerance, and consistency models
Experience owning system design and architecture for complex, multi-component systems
Ability to work independently on ambiguous problems and drive solutions to completion
Strong communication skills and ability to collaborate across teams

Nice To Haves

Experience with stream processing frameworks (e.g., Flink, Spark)
Familiarity with AI/ML systems or data-driven decisioning platforms
Experience working on large-scale SaaS or customer engagement platforms
Experience with observability and performance tooling (e.g., Grafana, Splunk, New Relic)
Track record of mentoring engineers and contributing to team-wide best practices

Responsibilities

Lead the design and development of large-scale, distributed backend systems supporting real-time journey orchestration
Own and drive end-to-end architecture for critical services, ensuring scalability, reliability, and maintainability
Define and evolve event-driven systems using Apache Kafka for high-throughput, low-latency processing
Architect and optimize data storage and access patterns using technologies such as MongoDB and Aerospike
Design systems with a long-term architectural perspective, balancing immediate needs with future scalability
Drive cross-team technical initiatives, aligning design and implementation across multiple services and components
Identify and resolve complex system-level challenges, including performance bottlenecks and reliability issues
Lead design and code reviews, establishing best practices, and improving overall engineering quality
Mentor engineers and contribute to the technical growth of the team
Collaborate with product and platform teams to translate requirements into robust technical solutions