Member Of Technical Staff 2

About the Role
We are looking for a Computer Scientist 2 to join the App Builder team and help build the next generation of extensibility experiences across Adobe products. This role is ideal for an engineer who enjoys building cloud-native applications, developer platforms, and scalable integrations that allow customers and internal teams to extend Adobe solutions in powerful, secure, and elegant ways.As part of the App Builder team, you will contribute to services and frameworks used to create UI extensions, serverless microservices, and event-driven integrations. You will work across front-end and back-end systems, collaborating closely with product management, architecture, partner teams, and fellow engineers to improve developer experience, platform reliability, and product adoption.
What You’ll Do
Design, build, test, and maintain features for the App Builder platform and related developer workflows.
Develop scalable back-end services, APIs, and runtime components that power extension and integration scenarios.
Build or contribute to front-end experiences using modern JavaScript frameworks and Adobe design systems.
Improve developer productivity through tooling, SDKs, templates, automation, and documentation.
Work on cloud-native application patterns including serverless functions, event-driven systems, and service integrations.
Collaborate with product and engineering teams across Adobe to define extensibility use cases and platform capabilities.
Participate in architecture discussions, code reviews, operational readiness, and quality initiatives.
Solve complex product and platform issues across distributed systems.
Contribute to engineering excellence through testing, observability, CI/CD, and operational guidelines.
Help shape a great developer experience for internal teams, partners, and customers building on Adobe platforms.
Drive adoption of AI-assisted engineering practices by integrating GenAI capabilities into developer workflows, enabling faster development, improved code quality, and enhanced engineering efficiency.
What We’re Looking For
Bachelor’s degree or equivalent experience in Computer Science or a related field, or equivalent practical experience.
4-6 years of software engineering experience building production-quality applications or platform services.
Strong programming skills in one or more languages such as JavaScript/TypeScript, Java, Python, or Node.js.
Experience building APIs, services, or microservices in a cloud environment.
Familiarity with modern front-end development, including component-based UI frameworks.
Understanding of distributed systems fundamentals, including scalability, resiliency, and debugging.
Experience with test automation, source control, code review, and CI/CD workflows.
Strong problem-solving skills and the ability to work effectively in a collaborative environment.
Good written and verbal communication skills.
Good understanding of GenAI technologies Coding AI assistants, LLMs, agents, RAG, prompt engineering, embeddings, and vector databases.
Preferred Qualifications
Experience with serverless platforms, event-driven architectures, or API integrations.
Experience building developer platforms, SDKs, CLIs, or framework-level tooling.
Familiarity with React, TypeScript, and modern front-end tooling.
Experience with observability, monitoring, performance tuning, and production support.
Familiarity with secure application design, authentication, and enterprise integration patterns.
Experience working in a multi-team platform environment where usability, scale, and reliability all matter.
Success in This Role means:
Shipping high-quality features with strong engineering fundamentals.
Improving platform reliability, usability, and scalability.
Reducing developer friction through better tooling and workflows.
Collaborating effectively across teams to deliver extensibility capabilities customers can adopt with confidence.
Bringing thoughtful technical judgment, ownership, and steady execution to the team.
Why Join Us
You’ll work on a strategic platform that enables extensibility across Adobe products and helps developers build meaningful custom experiences on Adobe infrastructure. This is an opportunity to operate at the intersection of platform engineering, developer experience, cloud services, and product extensibility.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our
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Adobe for All
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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 protected characteristic.
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AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about
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