Software Engineer 4, Backend Services

Adobe•San Jose, CA

About The Position

Join the Adobe Express team as an experienced full stack engineer, leaning toward backend, to become part of a motivated and rapidly progressing team. The team is creating a new creativity platform that will influence the future of Creative Cloud and Adobe’s Digital Media business. In this position, you will apply AI-supported engineering methods to speed up development and convert emerging generative and multimodal AI features into dependable, responsible, production-level experiences for a worldwide user base. You will join a dedicated team that uses AI-assisted development workflows to build and deliver the Express content ecosystem, including design, implementation, production readiness, and system sustainability. You will maintain ownership of correctness, security, and engineering quality, tackle exciting design and engineering problems to deliver best-in-class services, and design, build, improve, and maintain highly performant and scalable platform capabilities that power AI-assisted creation, discovery, refinement, and publishing experiences. You will also build evaluation and feedback loops that combine automated benchmarks, human review, experimentation, product analytics, and user research to measure quality, relevance, safety, latency, cost, and task success. Collaborate with other engineers on problems of all shapes and sizes, from code to new ideas and methodologies. Collaborate with product managers and designers to bring generative and multimodal AI features into production. Manage the services and coordination—covering evaluation, safeguards, observability, latency, scalability, cost, and fallback behavior—to provide dependable experiences for a worldwide, large-scale audience. Provide recommendations on how to make the products more usable, using analytics tools, user research, and in-house community team to gather information and gain insights. Actively share knowledge and mentor other engineers, providing feedback and guidance to help them grow, and improve team standards by enabling others to deliver high-quality results and fostering a collaborative, inclusive environment.

Requirements

B.S. or above degree in Computer Science or a related field, or equivalent experience
5+ years proven experience building and maintaining high performance and scalable web services
Experience with service development
High fluency in data structures, algorithms, data modeling and schema design
Profound knowledge of web technologies and cloud services
Excellent coding skills in Java/Spring Boot, Kotlin or JavaScript
Hands-on experience with AI-supported software development tools, along with the capability to critically assess generated code, tests, designs, and technical recommendations.
Track record of designing and developing robust, scalable high impact cloud services
Proficient with large scale web application design and development guidelines to achieve modular, maintainable and extensible solutions
Ability to design reliable systems around nondeterministic components, including evaluation, validation, monitoring, fallback behavior, and failure recovery.
Operational experience running publicly available cloud services and applications, including AWS deployment/management services (CloudFormation, CloudWatch, etc.)
Self-motivated problem solver with a can-do demeanor
Comfortable both building prototypes from scratch and writing maintainable code inside large existing codebases
Shipped software in a commercial environment (start-ups a plus) and can deal with last-minute bug fixes and schedule changes
Strong product insight and the ability to transform unclear AI opportunities into testable hypotheses and measurable user outcomes.
Awareness of responsible AI considerations, including privacy, security, content safety, bias, provenance, and regional requirements.

Nice To Haves

Familiarity with model gateways, prompt and context management, structured generation, tool calling, retrieval-augmented generation, embeddings, or vector search.
Experience developing evaluation harnesses for AI systems, including offline benchmarks, human evaluation, A/B testing, and production quality monitoring.
Experience with inference optimization, model routing, caching, rate limiting and AI cost management.
Familiarity with agentic or multi-turn AI workflows.
Experience with creative tools, digital media, content generation or creator-facing products.
Experience with DevOps and Agile/Scrum development practices.

Responsibilities

Build and deliver the Express content ecosystem using AI-assisted development workflows.
Maintain ownership of correctness, security, and engineering quality.
Tackle design and engineering problems to deliver best-in-class services.
Design, build, improve, and maintain highly performant and scalable platform capabilities.
Build evaluation and feedback loops to measure quality, relevance, safety, latency, cost, and task success.
Collaborate with other engineers on various problems.
Collaborate with product managers and designers to bring generative and multimodal AI features into production.
Manage services and coordination for dependable worldwide experiences.
Provide recommendations on product usability.
Gather information and gain insights on user behavior to drive new ideas.
Actively share knowledge and mentor other engineers.
Improve team standards and foster a collaborative, inclusive environment.