Adobe
DevOps Engineer – AI Assistant & Shared App Infrastructure
Adobe, San Jose, California, United States, 95199
DevOps Engineer – AI Assistant & Shared App Infrastructure
Join to apply for the
DevOps Engineer – AI Assistant & Shared App Infrastructure
role at
Adobe .
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.
Our Team 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.
The Opportunity 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.
Impact You'll Make 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.
State‑Specific Notices California Fair Chance Ordinances – Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado Application Window Notice – 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. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts Massachusetts Legal Notice – 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. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536‑3015.
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DevOps Engineer – AI Assistant & Shared App Infrastructure
role at
Adobe .
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.
Our Team 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.
The Opportunity 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.
Impact You'll Make 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.
State‑Specific Notices California Fair Chance Ordinances – Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado Application Window Notice – 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. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts Massachusetts Legal Notice – 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. Learn more.
Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536‑3015.
#J-18808-Ljbffr