Sr. Software Engineer, AI Platform Developer Experience

Our Company

Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Firefly is the new family of creative generative AI models coming to Adobe products, providing an exciting new way to ideate, build, and scale content. It's a natural extension of the technology Adobe has produced over the past 40 years!

Engineers needed to improve efficiency for developing ML-powered applications and services at Firefly.

• Establish and enforce standard methodologies for service deployment, dependency management, code hygiene, and software supply chain protection.
• Build scalable internal tooling and automation that simplifies and standardizes development across multiple teams and platforms.
• Partner with engineering teams to identify friction in the development process and deliver solutions that increase efficiency and consistency.
• Promote a data-driven culture by integrating observability and telemetry into build systems and tooling.
• Work closely with engineers on the team to guide the development process from requirements and design through development, integration, testing, and deployment.
• Work with other Adobe teams, advising on use of our technology, investigating bugs, and collaborating on providing new features.
• Regularly review and tune test code to achieve a high standard of software quality, code coverage, and performance metrics.
• Respond to urgent production issues requiring fast resolution and deployment of code fixes/updates.
• Participate in crafting technology that has an enormous impact across Adobe, writing patents, and helping to craft an active internal community of software development professionals.

• Bachelor's or higher degree in Computer Science, Engineering, or a related field
• Proficiency with Python
• Extensive experience working with large-scale codebases and familiarity with dependency/version management standard processes
• Hands-on experience with CI/CD systems such as GitHub Actions, Jenkins, or GitLab CI/CD, with a focus on performance, maintainability, and reliability.
• Experience working with Bazel or other build systems in a monorepo context
• Understanding of Kubernetes and modern deployment strategies
• Familiarity with server-side/backend service development, distributed systems and their operational challenges (e.g., monitoring, alerting, rollback strategies)
• Strong system design skills and ability to make architectural tradeoffs
• Excellent communication skills and experience collaborating with internal users/customers
• Be able to take ownership of complex projects and provide end-to-end engineering solutions: from architecture design to implementation and production support
• Firm computer science fundamentals, including design patterns, algorithms, asymptotic complexity, parallelism, and database schema design
• Works well in a small, collaborative, highly productive team environment across multiple geographies
• Excellent verbal and written communication skills

• Experience building reliable high performance cloud platforms and services.
• Experience with GPU-based ML inference services

#FireflyGenAI

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.

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California:

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Colorado:

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Massachusetts:

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