JOB LEVEL

P50

EMPLOYEE ROLE

Individual Contributor

About the Role

We’re looking for a Full-Stack Engineer with strong backend and DevOps background to help build and evolve internal tools that power AI research and evaluation. This role sits at the intersection of backend architecture, infrastructure automation, and developer experience — with the larger goal of improving how we measure and ensure the quality and safety of AI systems.You’ll collaborate closely with machine-learning researchers, data scientists, PMs, and engineers, translating complex research workflows into robust, scalable systems. While your primary focus will be on backend services, data models, and infrastructure, you’ll also occasionally contribute to frontend development to help shape cohesive, user-friendly interfaces that bring research workflows to life.What You’ll Work On

Designing and implementing backend APIs and data models using modern web frameworks (e.g. Laravel, Ruby on Rails, Node.js / Adonis, or Python / FastAPI)
Managing MongoDB schemas and performing safe data migrations for live research datasets
Building and maintaining Dockerized applications and CI/CD pipelines in Kubernetes / Argo CD environments
Maintaining and versioning APIs and SDKs following Semantic Versioning (SemVer), and communicating updates clearly to internal users
Working directly with internal customers to understand workflows, gather requirements, and translate them into actionable engineering tasks
Automating developer processes and improving tooling and developer experience across the platform
Occasionally contributing to frontend development (React or similar frameworks) to integrate new backend features or streamline researcher-facing workflows

What You Bring

Strong backend development experience with at least one modern web framework (Laravel, Rails, Node.js / Adonis, or Python / FastAPI)
Proficiency with Docker and containerized application development
Experience with MongoDB and schema evolution in production environments
Familiarity with Kubernetes, Argo CD, or similar DevOps platforms
Understanding of CI/CD, API versioning, and SDK publishing workflows
Excellent communication and collaboration skills — comfortable engaging with internal users, clarifying requirements, and turning feedback into practical solutions
A customer-first mindset and enthusiasm for improving internal tooling and developer experience
A strong work ethic, eagerness to learn new systems and technologies, and the ability to connect disparate tools and architectures into cohesive solutions
An open, reflective approach — you learn from past experiences without being biased toward past solutions
Bonus: experience or curiosity in machine-learning evaluation, data visualization, Amazon S3, or authentication and security best practices

Why This Role Matters

You’ll help bridge the gap between research and engineering, enabling teams to evaluate and iterate on AI models more efficiently and responsibly. Your work will directly contribute to improving the quality, reliability, and safety of AI systems — not by training models, but by building the infrastructure that helps everyone understand them better.This is an opportunity to shape the tools that shape research itself — within a small, collaborative team that values thoughtful design, experimentation, and real-world impact.

#FireflyGenAI

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 $153,600 -- $286,600 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.

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.

Colorado

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe!

Put your best foot forward

1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

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 accommodations@adobe.com or call (408) 536-3015.

Full Stack Engineer

Job Type