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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!
We’re seeking a dynamic Senior DevOps engineer with proficiency in cloud infrastructure technologies and a passion for building scalable systems. As a part of the Photoshop Applied Research Team, you will be pivotal in building and maintaining operational efficiency for highly scalable, reliable and performant services. You will join a team of dedicated engineers to expand the cloud offerings behind some of Adobe’s most successful and innovative creative products.
What you'll DoDesign, deploy, and maintain robust configuration management systems to support scalable infrastructure.
Manage multiple environments for development, testing, and production to ensure smooth deployment cycles.
Enhance, build, and deploy services on Adobe’s platforms with a focus on machine learning (ML) service integration.
Develop and optimize monitoring solutions to ensure the health of services and infrastructure.
Continuously improve service reliability, resiliency, availability, and scalability.
Lead the lifecycle of operational readiness—from architecture to deployment and post-launch support.
Collaborate with ML platform engineering teams to streamline and create efficient CI/CD pipelines.
Automate infrastructure provisioning and application deployment using tools such as Gitlab, Jenkins, Terraform, Helm etc.
Bachelor's degree in Computer Science or equivalent professional experience.
5+ years of hands-on experience with at least one programming language such as Python or Node.js. Python is preferred.
3+ years of deep experience with Docker, Kubernetes, and GitOps tools (e.g., ArgoCD).
3+ years working with monitoring and observability tools such as Splunk, New Relic, Prometheus, or Grafana.
Strong knowledge of systems engineering principles including scalability, performance tuning, reliability, and high availability.
Demonstrated ability to troubleshoot and debug complex cloud-based systems.
Solid understanding of CI/CD concepts and implementation best practices.
Experience with AI/ML model deployment workflows and infrastructure.
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
If 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.
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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