Computer Scientist-I

Job Description

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! Responsibilities Design, implement, and own complex distributed features across the data and microservices ecosystem. Build scalable and resilient Spark-based data processing pipelines (batch and/or streaming). Develop and maintain microservices to support platform services and ML pipelines. Work closely with architects, product managers, and collaborators to develop technical solutions from concept to production. Optimize the performance, cost, and reliability of large-scale distributed systems. Lead code reviews, mentor junior engineers, and enforce engineering standard methodologies. Contribute to tooling and automation that support CI/CD, observability, and incident response. Requirements 6+ years of professional software engineering experience. Proven ability to lead features or systems end-to-end — from design through implementation to deployment and monitoring. Strong proficiency in Scala, Java, or Python (with Spark expertise in at least one). Deep understanding of Apache Spark internals, tuning, and optimization (structured streaming is a plus). Experience with microservices architecture and frameworks (e.g., Spring Boot, FastAPI, or similar). Solid grasp of distributed systems concepts like consistency, availability, partitioning, and fault tolerance. Hands-on experience with cloud platforms (AWS, GCP, or Azure) and orchestration tools (Docker, Kubernetes) or equivalent experience. Familiarity with messaging/streaming platforms such as Kafka, Pulsar, or similar. Nice to Have Experience with data lake formats like Delta Lake, Iceberg, etc. Understanding of data governance, lineage, and compliance requirements. Exposure to machine learning infrastructure or MLOps pipelines. Familiarity with Generative AI efficiency tools (e.g., GitHub Copilot, ChatGPT, code generation workflows). Background or interest in machine learning models, data science workflows, or AI-powered systems. Strong system design skills and interest in technical leadership. Adobe is proud to be an Equal Employment Opportunity and affirmative action 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 accommodations@adobe.com or call (408) 536-3015. Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.