Sr. Software Engineer, AI Platform Developer Experience

About the Role

Key Responsibilities

• 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.

Requirements

• 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.
• Ability 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.

Nice to Have

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

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering, or a related field.

Benefits & Perks

• 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.
• Certain roles may be eligible for long-term incentives in the form of a new hire equity award.