Adobe is looking to hire a Full-Stack Engineer with a strong backend and DevOps background to help build and evolve internal tools that power AI research and evaluation. The goal is to improve how Adobe measures and ensures the quality and safety of AI systems by bridging the gap between research and engineering.
Requirements
- 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
- Experience or curiosity in machine-learning evaluation , data visualization , Amazon S3 , or authentication and security best practices
Responsibilities
- 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
Other
- 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
- Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
