Sr. Software Development Engineer, Adobe Experience Platform

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity What if data collaboration between enterprises could be as seamless, intelligent, and real-time as consumer apps — but built with enterprise-grade scale, privacy, and performance? Adobe Real-Time Customer Data Platform (Real-Time CDP), part of Adobe Digital Experience, helps organizations unify known and anonymous data into real-time customer profiles. But profiles alone are not enough. RTCDP Collaboration takes this further. We are building the engine that enables organizations to securely collaborate on data — activating shared insights while preserving governance, scalability, and performance at massive scale. How does data actually move? How is it processed? How do we orchestrate workflows across systems, clouds, and partners in real time? How do we ensure trust, performance, and resilience while handling billions of events? These are not theoretical questions. They are the engineering challenges we solve every day. As a Senior Software Development Engineer in the Backend team, you will not just implement features — you will shape how enterprise data collaboration happens inside the Adobe ecosystem. You will help design the systems that allow businesses to connect, activate shared insights, and ultimately deliver more meaningful customer experiences. If you are driven by complexity, ownership, and architectural impact — this is your challenge. What you'll Do Architect and build distributed, resilient, scalable backend systems that power RTCDP Collaboration at enterprise scale. Design the data sharing and processing backbone — real-time and batch data pipelines using Kafka, Snowflake, and cloud-native technologies. Implement and evolve orchestration workflows (e.g., Temporal or similar systems) that coordinate complex, cross-system processes. Deeply understand how data flows through the RTCDP ecosystem — from ingestion to activation — and ensure the architecture supports secure, governed collaboration. Work across AWS and Azure environments to deliver highly available, cost-efficient, cloud-native services. Own the full lifecycle: design, build, test automation, CI/CD (using modern continuous integration and delivery platforms), deployment, observability, and operational excellence. Apply agentic coding and AI-assisted engineering practices to accelerate development while maintaining high quality standards. Partner with cross-geo engineering and product teams to align on architecture, integrations, and long-term strategy. Challenge assumptions, mentor engineers, and elevate the technical bar of the team. Act as a technical driver — stepping in to lead initiatives, clarify direction, and move execution forward when needed. What you need to succeed 9+ years of backend engineering experience building distributed, scalable systems. Deep expertise in Java and strong experience designing microservices-based architectures. Proven experience with: Event-driven architectures and Kafka (or similar streaming platforms) Large-scale data pipelines (real-time and batch) Snowflake or modern cloud data warehouses Workflow orchestration systems such as Temporal Big data processing ecosystems Strong experience with CI/CD automation platforms and DevOps best practices. Hands-on experience building and operating systems in AWS and/or Azure. Strong foundation in a ... (truncated, view full listing at source)