DevOps Engineer - AI Assistant & Shared App Infrastructure
About The Position
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! 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.
Requirements
- 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 Haves
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
