Senior DevOps Engineer (AI Ops)

Adobe • San Jose, CA

18h

About The Position

We are seeking a hands-on Senior DevOps Engineer specializing in AI Ops to own infrastructure provisioning, CI/CD automation, telemetry pipelines, and production deployment for AI-powered services, agents, and orchestration systems . This role is responsible for building and operating the infrastructure that enables reliable, observable, and scalable AI systems in production . The engineer will help operationalize AI platforms by implementing intelligent monitoring, automated incident response, model lifecycle governance, and data-driven operational insights. The role is SRE-heavy and infrastructure-first, with responsibility for ensuring that systems and services using advanced technology running in production are reliable, resilient, scalable, secured, and cost-effective.
At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law. 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 [email protected] or call [phone]. 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 .

Responsibilities

• Infrastructure Provisioning & Automation Design and manage cloud infrastructure using Infrastructure as Code (Terraform, etc.) Provision and maintain Kubernetes clusters and supporting services Automate environment setup across dev, stage, and production
• CI/CD & Deployment Engineering Build and maintain CI/CD pipelines for AI Services, Agent Frameworks, Orchestrators, and Model Artifacts Implement automated testing and reliability validation gates Build safe rollback mechanisms for services and models Integrate reliability and health checks into deployment workflows
• Model & Agent Deployment Governance Package, version, and deploy models and agent services in containerized environments while managing artifact promotion across environments.
• Monitor model and agent performance ( latency, throughput, accuracy, cost) and enable safe rollout, rollback, and refresh workflows.
• Data Pipelines for Telemetry & Observability Design and operate scalable pipelines for collecting and processing logs, metrics, traces, and operational events. Enable structured telemetry for AI services and orchestration systems to support real- time monitoring and operational insights.
• AIOps Platform Integration
• Production Reliability & SRE Excellence

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees