Senior DevOps Engineer- AI/ML Infrastructure & Shared Platform
AdobeOur 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 of 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 Senior DevOps Engineer to architect, implement, and maintain the shared app infrastructure supporting our AI Assistant and related services across Adobe Experience Cloud. This role requires deep technical expertise in infrastructure automation, cloud-native systems, and MLOps engineering, along with strong cross-functional collaboration skills. The position spans custom tool development, deployment, performance validation, and monitoring—ensuring highly reliable and secure infrastructure to support Adobe's rapidly evolving AI initiatives.
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 these critical services—enabling rapid experimentation, seamless model deployment, and the continuous delivery of new AI-powered features at scale.
Key Responsibilities
Architect, build, and maintain CI/CD pipelines for AI Assistant, ML services, and traditional app services, ensuring seamless integration of diverse software components across Experience Cloud
Design and manage cloud infrastructure (Azure, AWS, GCP) for scalable, secure, and cost-effective AI/ML operations
Create resilient automation pipelines, orchestrate Kubernetes-based environments, and deploy microservices using Helm
Automate bare-metal-to-cloud provisioning, deployment, monitoring, and incident response for AI-powered applications
Build monitoring systems and automated alerts using Datadog, Prometheus, or ELK/Kibana; diagnose and resolve complex build and infrastructure failures
Integrate security and static code analysis tools into pipelines; ensure compliance with security and privacy standards across all environments
Collaborate with engineering, product, and ML teams to optimize workflows and infrastructure for rapid model iteration and deployment
Implement infrastructure-as-code and configuration management best practices (Terraform, Ansible)
Drive continuous improvement in reliability, performance, and developer productivity
Play a critical role in scaling enterprise deployment workflows, refining automation architectures, and enabling rapid iteration across the Gen AI Experience Engineering organization
What You Need to Succeed
The three things that matter most for this role:
5+ years in DevOps, SRE, or Cloud Infrastructure — and the depth of knowledge that comes with it
Strong custom tool development skills — you build the automation others rely on (more than just scripting)
AI/ML infrastructure fluency — you understand what AI/ML systems need to run reliably, and you use AI/ML to make DevOps processes smarter
If those three describe you, here's what the day-to-day requires:
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.)
Extensive Python automation skills and Kubernetes/Helm-based microservice deployment experience
Strong scripting and custom tool development (Python, Bash, PowerShell) and Linux system administration
Solid understanding of observability tools — Prometheus, Grafana, ELK/Kibana — and secure development best practices
Experience supporting AI/ML workloads and data pipelines in production
Solid understanding of security, compliance, and privacy in cloud environments
Excellent collaboration and communication skills
Startup mentality: you thrive in fast-paced, iterative environments
Nice to Have
Experience with infrastructure for large-scale generative AI or LLM-based systems
Knowledge of Adobe Experience Platform or similar enterprise SaaS ecosystems
Contributions to open-source DevOps or cloud infrastructure projects
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
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 protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process 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 +1 408-536-3015.
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 AI in the hiring experience.
Expected Pay Range:
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 $139,000 -- $257,550 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.In California, the pay range for this position is $177,900 - $257,550
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.
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
Apr 30 2026 12:00 AMIf this role is open to hiring in Colorado (as listed on the job posting), 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.