Member of Technical Staff 2

Job Description Our Company Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything 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 Our Company Changing the world through digital experiences is what Adobe's all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences. We're passionate about empowering people to craft 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 building exceptional employee experiences where everyone is respected and has equal opportunity. We know that new ideas can come from everywhere in the organization, and we know the next big idea could be yours The Opportunity Join the Gen AI Experiences team within the Adobe Experience Platform, where you'll contribute to building cloud-native backend services that power Generative AI-driven experiences across Adobe Experience Cloud. This is a hands-on development role for engineers eager to work on high-scale distributed systems and learn how AI and data-driven capabilities are transforming digital marketing and customer experiences. You'll work alongside senior engineers and architects who will mentor and guide you as you grow your expertise in Java, cloud, and AI-integrated services. What You'll Do - Develop and maintain Java-based microservices and APIs supporting AI and data workflows. - Collaborate with senior engineers to design, implement, test, and deploy new service features. - Participate in code reviews, design discussions, and sprint planning to ensure quality and alignment. - Build and improve cloud-native services using modern frameworks (Spring Boot, Docker, Kubernetes). - Contribute to integration and testing of AI/ML components in collaboration with data and ML teams. - Write clean, efficient, and well-documented code with a focus on maintainability and performance. - Investigate and resolve production issues, driving improvements in reliability and observability. - Know the latest with emerging tools, frameworks, and AI technologies to continually enhance your skills. What You Need To Succeed - Bachelor's degree or equivalent experience in Computer Science, Engineering, or related field. - 24 years of professional experience in software development using Java. - Solid understanding of object-oriented design, algorithms, and data structures. - Hands-on experience with Spring Boot or similar frameworks for building RESTful APIs. - Familiarity with cloud services (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Basic understanding of microservices architecture and CI/CD pipelines. - Exposure to AI/ML concepts or eagerness to learn how AI systems are built and deployed. - Strong problem-solving, debugging, and communication skills. - A growth mindset with enthusiasm for learning from peers and contributing to a high-impact AI team. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [Confidential Information] or call (408) 536-3015.