Devops Engineer – AI Assistant & Shared App Infrastructure

DevOps Engineer

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.

The Gen AI Experience Engineering team is pioneering AI integration across Adobe Experience Cloud, operating with a startup mentality and a focus on rapid, iterative delivery. We build scalable solutions that empower both our customers and internal teams.

Are you passionate about enabling world-class AI-powered experiences through robust infrastructure and automation? We're seeking a DevOps Engineer to architect, implement, and maintain the shared app infrastructure supporting our AI Assistant and related services across Adobe Experience Cloud.

You'll be instrumental in designing and operating the backbone that powers our AI Assistant and shared applications. Your work will ensure reliability, scalability, and security for mission-critical services, enabling rapid experimentation and seamless delivery of new features.

Key Responsibilities:

• Architect, build, and maintain CI/CD pipelines for AI Assistant and shared app services
• Design and manage cloud infrastructure (Azure, AWS, GCP) for scalable, secure, and cost-effective operations
• Automate deployment, monitoring, and incident response for AI-powered applications
• Collaborate with engineering, product, and ML teams to optimize workflows and infrastructure for rapid iteration
• Implement infrastructure-as-code and configuration management best practices
• Ensure compliance with security and privacy standards across environments
• Drive continuous improvement in reliability, performance, and developer productivity
• Troubleshoot and resolve infrastructure issues in production and development environments

Qualifications:

• 5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
• Deep expertise with cloud platforms (Azure, AWS, GCP) and container orchestration (Kubernetes, Docker)
• Proven experience building and maintaining CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps, etc.)
• Strong scripting and automation skills (Python, Bash, PowerShell, etc.)
• Experience supporting AI/ML workloads and data pipelines is a plus
• Familiarity with monitoring, logging, and alerting tools (Datadog, Prometheus, ELK, etc.)
• Solid understanding of security, compliance, and privacy in cloud environments
• Excellent collaboration and communication skills
• Startup mentality: thrive in fast-paced, iterative environments

Nice to Have:

• Experience with infrastructure for large-scale AI/ML systems
• Knowledge of Adobe Experience Platform or similar enterprise SaaS ecosystems
• Contributions to open-source DevOps or cloud infrastructure projects

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $133,900 -- $242,000 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

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.

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

If this role is open to hiring in Colorado, the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

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