DevOps Engineer – AI Assistant & Shared App Infrastructure at Adobe

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.Were 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 TeamThe 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 OpportunityAre you passionate about enabling world-class AI-powered experiences through robust infrastructure and automation Were 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 Youll MakeYoull 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 ResponsibilitiesArchitect build and maintain CI/CD pipelines for AI Assistant and shared app servicesDesign and manage cloud infrastructure (Azure AWS GCP) for scalable secure and cost-effective operationsAutomate deployment monitoring and incident response for AI-powered applicationsCollaborate with engineering product and ML teams to optimize workflows and infrastructure for rapid iterationImplement infrastructure-as-code and configuration management best practicesEnsure compliance with security and privacy standards across environmentsDrive continuous improvement in reliability performance and developer productivityTroubleshoot and resolve infrastructure issues in production and development environmentsQualifications5 years of experience in DevOps Site Reliability Engineering or Cloud Infrastructure rolesDeep 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 plusFamiliarity with monitoring logging and alerting tools (Datadog Prometheus ELK etc.)Solid understanding of security compliance and privacy in cloud environmentsExcellent collaboration and communication skillsStartup mentality: thrive in fast-paced iterative environmentsNice to HaveExperience with infrastructure for large-scale AI/ML systemsKnowledge of Adobe Experience Platform or similar enterprise SaaS ecosystemsContributions to open-source DevOps or cloud infrastructure projectsOur 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 positionis $$242000 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand 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.State-Specific Notices:California:Fair Chance OrdinancesAdobe 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 NoticeIf 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 NoticeIt 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 anEqual Employment Opportunityemployer. 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 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 emailor call . Key Skills Jenkins,Ruby,Python,Active Directory,Cloud,PowerShell,Windows,AWS,Linux,SAN,Java,Troubleshoot,Backup,Puppet,hardware Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 133900 - 242000