The Opportunity

We’re looking for a Senior Software Engineer who thrives on building scalable, AI-native systems at high velocity. Bridgeway runs like a startup — a small, talent-dense team bringing startup speed inside Adobe.

We look for builders who have shipped — engineers who have launched real-world systems, scaled products, and take deep pride in craft and execution over specific titles or pedigrees.

Everyone on our team operates across three lenses: product, system design, and execution. That means strong architectural judgment, production-quality code, and product-level reasoning. What sets people apart isn't which of the three they can do — it's how seamlessly they bring them together.

• Architectural Judgment: Know what to build and how to scale it. Build clean, modular architecture that supports rapid iteration while staying resilient under load.
• Product-Minded Engineering: Understand our core user — a solo business owner with 90 seconds to spare — and make technical trade-offs that directly serve user simplicity and speed.
• AI-Native Velocity: Harness AI tools and modern dev workflows like instruments — rapid prototyping, automated testing, and accelerated implementation — shipping in days
• End-to-End Ownership: Own features and systems end-to-end: system design, API development, integration, deployment, and performance monitoring.

The Challenge

• Scale Core Infrastructure: Build production-ready backend services and APIs that ensure fast response times, high availability, and seamless scalability.
• Champion Simplicity: Cut through technical complexity to deliver effortless, lightning-fast end-user experiences tailored for non-technical SMB owners.
• Bridge Design & Engineering: Partner closely with design engineers to turn high-fidelity concepts and rapid prototypes into robust production software without loss of fidelity.
• Elevate System Quality: Establish patterns, shared libraries, and dev tools that raise the baseline engineering quality and velocity across the team.

What is Needed to Succeed

• Strong Technical Foundation: Deep expertise in modern full-stack or backend engineering (TypeScript, React, Node.js, Python, microservices, cloud infrastructure).
• AI & Agentic Systems Expertise: Hands-on experience or genuine passion for working with LLMs, prompt orchestration, agentic frameworks, and AI workflows.
• AI-Assisted Development: Natural adoption of modern AI coding assistants to write code, test, and debug faster without sacrificing quality or system stability.
• Customer Focus: driving engineering decisions based on real user value rather than tech for tech’s sake.

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 .

Expected Pay Range:

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.