Sr. Software Development Engineer 5

Adobe Systems Incorporated•San Jose, CA

32d

About The Position

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: Adobe Document Cloud's AI team seeks a Senior Software Engineer to enhance our next generation of AI-driven features. Our scale spans billions of PDFs and millions of transactions monthly. Join the core team managing the central repository supporting all feature development and backend services for the Acrobat AI Assistant. This role is pivotal in fostering rapid feature development and building production-ready componentry code invoked countless times daily to serve our customers. We support features like question-answering (QA), suggested and related questions, attributions, document summaries, and more. Our most recent public features include Liquid Mode, allowing a flawless reflow experience for PDFs on phones and tablets; PDF Extract API for unlocking the structure and content elements of any PDF; Table Decomposition feature in Liquid Mode; and now new generative AI features. All products are driven by AI. Our solutions are deployed on mobile devices, in the cloud, and on desktop.

Requirements

B.S., M.Sc., or Ph.D. in Computer Science or equivalent practical experience with 10+ years of experience.
Strong experience in software development, particularly in backend infrastructure, with a focus on code layering and architectural best practices.
Proficiency in designing and implementing concurrent and asynchronous systems using languages such as Python, JavaScript (Node.js), or Go.
Familiarity with integrating language models within a feature pipeline.
Strong understanding of event-driven architectures and non-blocking I/O operations.
Understanding of OOP principles such as encapsulation, inheritance, polymorphism, and abstraction.
Familiarity with common design patterns (e.g., Singleton, Factory, Observer, Strategy).
Proficiency in writing unit and integration tests for object-oriented systems. Strong debugging skills.
Proficiency in Python, with the ability to write clean, unit-tested, and well-documented code using docstrings. Familiarity with frameworks such as LangChain and Pydantic is highly desirable.
Familiarity with prompt engineering, vector search techniques, and similar AI/ML technologies.
Experience or willingness to learn how to create and review specifications for client-service contracts.
Strong interpersonal skills with the ability to lead, mentor, and work collaboratively in a fast-paced environment.
A proactive approach to identifying and resolving technical challenges independently.
Flexibility in high-pressure settings.

Nice To Haves

Experience in developing and deploying machine learning models in production environments.
Expertise in continuous integration/continuous deployment pipelines, particularly in cloud environments.
Experience with building and maintaining large-scale data processing systems, with a strong understanding of technologies like Kafka and Spark.
Familiarity with networking protocols and monitoring systems, as well as experience in developing and maintaining RESTful APIs.

Responsibilities

Design, build, and maintain scalable and efficient code solutions for the Acrobat AI Assistant.
Develop and review specifications for safe client-service contracts, ensuring clear, concise, and secure interactions.
Implement best practices in code layering and modular design for robust and maintainable codebases.
Conduct detailed reviews of pull requests and debug complex service integration issues.
Lead the coordination and execution of service releases, ensuring they meet rigorous production standards.
Work closely with feature teams to facilitate effective communication and knowledge sharing.
Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems.
Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market.

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