Our Company

Adobe is dedicated to changing the world through digital experiences. We empower people to create beautiful images, videos, and apps and transform how companies interact with customers across every screen.

The Opportunity

Adobe Express and Engineering Platform is building innovative products, accelerating release cycles, and ensuring reliability at scale. We are seeking a Director of Engineering to lead multiple teams responsible for core engineering infrastructure, including Developer Tools, Observability, Delivery Pipelines, Engineering Environments, Automation Frameworks, and End-to-End Customer Journey Testing.

This role requires a proven technology leader who balances technical depth with discernment, articulating both a clear near-term action plan and a compelling long-term vision. The successful candidate will advance DevOps and SRE practices to drive engineering productivity and strategically demonstrate AI to unlock efficiencies and innovation across the organization.

What You’ll Do

• Provide strategic direction and execution for production delivery, developer tools, observability, and associated engineering environments.
• Embed AI into every facet of the engineering lifecycle, from internal solutions to vendor integrations to elevate efficiency and customer experience.
• Scale platforms to support millions of users and dozens of tenants, ensuring performance and reliability at enterprise scale.
• Lead and grow a distributed engineering organization of 50+ professionals.
• Define and implement the strategy for building a self‑service, enterprise‑scale reliability platform.
• Foster a culture of collaboration, experimentation, and rapid iteration across product, engineering, and marketing teams, enabling fast prototyping and innovation with a "fail forward" approach.
• Establish and enforce standards around frameworks, technologies, and processes to ensure consistency and simplicity across services.
• Define, measure, and continuously improve engineering productivity by setting benchmark critical metrics and SLAs, demonstrating data‑driven insights for optimization.

What You’ll Need to Succeed

• Demonstrated use of AI/ML to enhance engineering productivity and organizational efficiency.
• Proven leadership in high‑growth environments, with experience running enterprise‑scale services across private and public cloud platforms.
• A strong track record of leading large, geo‑distributed engineering organizations.
• Expertise in designing and managing complex development frameworks, deployment tools, test environments, and automation systems.
• Experience building or demonstrating A/B testing infrastructure and applying SRE operating models.
• Deep technical expertise with at least one major public cloud (Azure, AWS) and open‑source technologies such as Kubernetes, Istio, Prometheus, Elasticsearch, Kafka, and Spark.
• Strong understanding of deployment systems, CI/CD pipelines, and system configuration.
• Experience delivering integrated end‑to‑end systems, including source control, build tools, artifact repositories, deployment, and monitoring.
• Proficiency in performance engineering and load testing at scale.
• Ability to define and manage SLAs for production‑scale systems, ensuring reliability and data quality across platforms.
• Proven success in delivering high‑impact dashboards, datasets, and visualizations to drive business and product decisions.

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 $179,300 -- $354,600 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.

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.

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