Full-Stack Engineer

About the Role We are seeking a Full-Stack Software Engineer to help develop and scale a creative platform for design-intensive workflows. This role sits at the intersection of rich, interactive frontend experiences and high-performance, resilient backend systems, spanning everything from pixel-perfect UI to production infrastructure. This role involves full ownership of complex features and systems. You will develop throughout the entire stack to provide fast, reliable, and scalable user experiences. You will contribute to growing platform capabilities by converting requirements into maintainable systems that uphold quality and reliability for a large, varied audience. The environment prioritizes a high-speed engineering culture emphasizing continuous integration and delivery, developer tooling, and AI-assisted development methods. What You'll Do Own full-stack implementation across the platform, from API surfaces and backend services to client runtimes and rich, design-heavy frontend experiences on web. Take end-to-end responsibility for features across the full lifecycle: from building and development through testing, documentation, deployment, and maintenance. Compose and develop fast, responsive, and visually rich frontend interfaces that meet high design fidelity standards, using modern web frameworks and component-based architecture. Architect and develop backend services capable of handling heavy traffic loads, with a focus on reliability, performance, and fault tolerance. Build, manage, and maintain sandbox-based environments for development, testing, and isolation of platform instances. Own deployment pipelines and infrastructure on Kubernetes-based clusters, ensuring smooth, repeatable, and observable rollouts. Apply AI-assisted engineering tools like Claude Code, Cursor, and Codex as a core part of your development workflow. You will also help guide the team's approach to these techniques. Collaborate with product, build, platform, and security teams to translate requirements into well-engineered, user-facing features. Surface constraints early and ensure scope is based on accurate technical understanding. Participate actively in code reviews, contribute to shared engineering standards, and help maintain a high bar for code quality across the team. What You'll Need Bachelor's degree or relevant experience, or a graduate degree or relevant experience in Computer Science, Software Engineering, or a closely related field. Proficiency in modern frontend development, including frameworks such as React, with experience building interactive, design-heavy, high-performance UIs. Backend engineering experience building and operating scalable, production-grade services (e.g., Node.js, Java, Python, Go, or similar). Experience deploying and operating services on Kubernetes-based infrastructure, including container orchestration, service configuration, and cluster management. Direct experience with AI-supported engineering tools (Claude Code, Codex, Cursor, or similar) and demonstrated success in embedding them into genuine development cycles. True excitement about the potential of AI-boosted engineering. Practical experience with CI/CD pipelines and ease operating in rapidly evolving engineering settings. Good engineering craft: readable, well-structured, production-quality code; opinionated views on testing, local dev ergonomics, and keeping a codebase maintainable as it grows. Familiarity with web performance, API development, and distributed systems fundamentals. Good written and verbal communication skills, with the ability to articulate technical decisions and collaborate effectively across various fields. Comfortable working in a fast paced setting where demands change frequently, with the capability to make practical choices and uphold code quality under stress. Nice to Have Experience building or managing sandbox-based instance environments for multi-tenant or isolated workloads. Experience with build systems, component libraries, or close collaboration with teams that develop implementation quality. Experience with observability tooling (logging, tracing, alerting) in production environments. Contributions to developer tooling, internal platforms, or infrastructure that improved team-wide engineering velocity. 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 values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. 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 protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process 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 . 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 AI in the hiring experience . Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $139,000 - $257,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $177,900 - $257,550
 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.