Staff Software Engineer (Level 5)

Adobe•San Jose, CA

About The Position

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 We are seeking a highly motivated Senior Software Engineer to help drive the evolution of Adobe Journey Optimizer (AJO) . In this backend role, you will play a key part in designing and delivering the next generation of features that empower our customers to create exceptional experiences across billions of interactions a day! As part of the real-time journey orchestration team, you’ll build high throughput, enterprise-grade solutions with a strong focus on performance, reliability, and innovation. Journey Optimizer is an application built on Adobe Experience Platform that enables real-time orchestration and delivery of personalized digital experiences across any channel. It empowers brands to engage customers in the moments that matter by combining unified customer profiles, intelligent decisioning, and dynamic content to deliver contextually relevant experiences at scale.

Requirements

Education : BS or MS in Computer Science or a related field.
Experience : 10+ years of experience building, testing and operating complex software systems, focused on the backend.
Technical Expertise : Deep understanding of modern software development practices, distributed systems, and cloud-native architectures.
Proficiency in Java, with expert knowledge of streaming architectures (e.g., Kafka), relational and NoSQL databases, caching frameworks, microservices, networking, security, and containerized environments (e.g., Docker, Kubernetes).
Problem Solving : Strong analytical skills and a data-driven attitude. Ability to break down complex problems and deliver elegant, maintainable solutions.
Operational Mentality : Demonstrated skill and enthusiasm for rigorous quality practices, observability, and incident response in production environments. Sense of urgency in maintaining operational excellence.
Leadership Background : Experience and interest in technical leadership and project management.
Communication : Excellent written and verbal communication skills. Ability to clearly articulate technical concepts and collaborate effectively with technical and non-technical partners.
Customer Empathy : A strong sense of ownership and a passion for building products that delight users.

Nice To Haves

Experience with AI/ML systems and enterprise software development is a strong plus.
Industry Exposure : Experience building enterprise B2B or B2C products in the marketing automation, analytics, experimentation, decisioning, or personalization space is a plus.

Responsibilities

Technical Ownership : Design, implement, and maintain core components of AJO, with a focus on backend systems.
Innovation & Impact : Collaborate with engineering leadership to shape and rapidly deliver on a technical vision for efficiently addressing the complex needs of our enterprise customers with easy-to-maintain solutions. Create differentiated value through effective application of AI.
Engineering Excellence : Champion software engineering standards, including code quality, testing, and continuous integration/deployment.
Design and Operate at Scale : Lead in the architecture and operation of large-scale, globally distributed systems. Ensure high availability and low latency in enterprise environments.
Mentorship & Collaboration : Mentor junior engineers, lead design reviews, and foster a culture of technical excellence and continuous learning across the team.
Customer Focus : Work closely with product managers and customer-facing teams to understand user needs and translate them into robust technical solutions.

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