Senior Director, Engineering
Senior Director, Engineering
Location: Noida, India
Organization: Adobe Experience Cloud – Customer Experience Orchestration (CXO) --
Specialization: Cloud Platform, AI Infrastructure, SRE, Managed Services & Security
Reports To: Vice President, Engineering
About the Role :
Adobe is seeking an exceptional engineering leader to build and lead our Cloud Platform, AI Infrastructure, Site Reliability Engineering (SRE), Managed Services and Security organization for the Customer Experience Orchestration (CXO) business.
This leader will be responsible for ensuring that Adobe's enterprise customers experience world-class reliability, security, scalability and operational excellence across products including Adobe Journey Optimizer (B2B & B2C), Marketo Engage, Adobe Campaign, Adobe Target, Real-Time CDP and adjacent CXO services.
Beyond traditional SRE responsibilities, this role will define and complete the operational strategy for Adobe's next-generation AI platform. As AI becomes foundational to every customer experience, this leader will own the infrastructure, operational frameworks and engineering platforms that enable secure, scalable and economically efficient AI capabilities across the CXO portfolio.
The role combines deep technical leadership with business ownership and customer focus. You will influence engineering strategy, establish Adobe-wide operational standards for CXO, drive AI infrastructure investments, improve cloud economics and build an organization that delivers exceptional customer trust at enterprise scale.
What You'll Do
Lead Cloud Reliability & Site Reliability Engineering
Define the long-term reliability strategy across the CXO portfolio.
Own production availability, resilience, scalability and performance for critically important SaaS platforms.
Establish and govern Service Level Objectives (SLOs), Service Level Indicators (SLIs) and error budget policies.
Drive architectural improvements that increase platform resilience while enabling rapid innovation.
Improve disaster recovery, business continuity and multi-region resilience.
Lead workload forecasting and performance engineering across cloud infrastructure.
Build World-Class Managed Services & Customer Operations
Lead global Managed Services and Production Operations supporting enterprise customers.
Establish operational excellence frameworks spanning incident, problem, change and release management.
Drive continuous improvements in customer experience, operational maturity and service quality.
Lead executive customer critical issues and serve as a trusted technical partner during critical situations.
Build proactive operational models focused on prevention rather than reaction.
Own executive operational reviews and customer trust metrics.
Contribute to AI Infrastructure & AI Platform Engineering
As Adobe expands AI-powered experiences across its products, this organization will build and operate the common infrastructure powering those capabilities.
Responsibilities include:
• Contribute to the AI infrastructure strategy for the CXO organization.
• Build scalable, reusable AI platform capabilities consumed by multiple engineering organizations.
• Own infrastructure supporting model serving, inference, vector databases, retrieval systems, orchestration frameworks and AI runtime services.
• Standardize AI platform architecture, deployment, lifecycle management and operational governance.
• Partner with Product Engineering and Applied Research teams to productionize AI innovations.
• Build common AI services that accelerate feature development while reducing duplicated engineering effort.
• Ensure AI infrastructure delivers enterprise-grade availability, security, latency and scalability.
Drive AI Cost Optimization & Platform Economics
This leader will own Adobe-level objectives around AI infrastructure efficiency and AI economics for the CXO portfolio.
Responsibilities include:
• Drive continuous reduction in AI Cost of Goods Sold (COGS).
• Build engineering platforms that optimize model utilization across products.
• Improve inference efficiency through intelligent model routing, batching, caching and workload optimization.
• Optimize GPU utilization and infrastructure capacity.
• Establish engineering standards for token efficiency, prompt optimization and model selection.
• Build transparency into AI consumption, infrastructure utilization and unit economics.
• Partner with Finance, Product and Engineering leadership on AI investment decisions and long-term infrastructure strategy.
• Ensure engineering teams can innovate rapidly while operating within sustainable economic models.
Build Intelligent Operations (AIOps)
Lead the transformation from reactive operations to autonomous, technology-based operations.
Responsibilities include:
• AI-assisted incident detection and triage.
• Intelligent alert correlation.
• Automated root cause analysis.
• Predictive failure detection.
• Autonomous remediation workflows.
• Operational copilots for engineering and support teams.
• Data-informed incident resolution.
• Capacity forecasting.
• AI-assisted operational decision making.
• Continuous reduction of operational toil through automation and intelligent agents.
Lead Security Engineering & Customer Trust
Partner with Adobe Security to continuously strengthen the security posture of the CXO portfolio.
Responsibilities include:
• Drive vulnerability management and remediation.
• Improve infrastructure security and secure software delivery.
• Build secure-by-default operational platforms.
• Ensure readiness for enterprise customer audits and regulatory compliance.
• Lead operational response to security incidents.
• Improve security automation and operational resilience.
• Establish engineering practices that increase customer trust across all services.
Engineering Productivity & Operational Excellence
Build engineering platforms that allow product teams to focus on innovation rather than operational complexity.
Responsibilities include:
• Eliminate operational toil through automation.
• Standardize operational tooling across engineering organizations.
• Build reusable cloud platform capabilities.
• Improve developer productivity through self-service operational platforms.
• Establish engineering excellence programs focused on operational maturity.
• Drive adoption of AI-powered engineering workflows.
• Measure and continuously improve engineering efficiency.
Organizational Leadership
• Build and lead a world-class organization of engineering managers, architects and senior technical leaders.
• Create a culture centered on ownership, accountability, operational excellence and customer obsession.
• Mentor future engineering leaders and develop organizational capability.
• Foster strong partnerships across Product Engineering, Product Management, Cloud Infrastructure, Security, Customer Success, Support and Finance.
• Drive planning for growth, investment prioritization and organizational scaling.
What We're Looking For
Experience - 18+ years of software engineering experience with at least 10 years leading large engineering organizations.
• Proven experience building and operating hyperscale SaaS platforms.
• Deep experience leading Site Reliability Engineering, Production Engineering or Cloud Platform organizations.
• Demonstrated success leading global engineering organizations through senior leaders.
• Experience operating customer-facing enterprise cloud platforms at large scale.
• Strong track record of leading through organizational transformation and technology evolution.
Technical Expertise
Strong expertise across several of the following domains:
• Distributed systems
• Cloud-native platforms
• Kubernetes and container orchestration
• Site Reliability Engineering
• Large-scale production operations
• Infrastructure automation
• Observability and telemetry
• Incident management
• Capacity planning
• High availability architectures
• Disaster recovery
• Security engineering
• Zero Trust architectures
• AI infrastructure
• Large Language Model (LLM) serving
• GPU infrastructure
• Retrieval-Augmented Generation (RAG)
• Vector databases
• AI orchestration frameworks
• AI observability
• Cloud FinOps
• AI cost optimization
• Platform engineering
• AIOps
Leadership Characteristics
The successful candidate will demonstrate:
• Customer obsession and an unwavering commitment to customer trust.
• Exceptional operational subject area and engineering rigor.
• Ability to translate business priorities into engineering execution.
• Calm and decisive leadership during high-pressure situations.
• Strong systems thinking with the ability to simplify complex technical challenges.
• Excellent executive communication skills.
• Data-driven decision making.
• Bias toward automation and platform thinking.
• Ability to influence across organizational boundaries.
• Passion for developing high-performing engineering organizations.
Why Join Adobe
Adobe is redefining how enterprises deliver customer experiences through AI. This role sits at the heart of that transformation.
As the leader responsible for Cloud Platform, AI Infrastructure, Reliability, Security and Customer Trust for the CXO business, you will shape the operational foundation that powers Adobe's AI-first future. Your work will directly influence the scalability, reliability, economics and trustworthiness of the platforms used by thousands of enterprises and millions of end users worldwide.
This is a rare opportunity to build the next generation of intelligent cloud operations while leading one of Adobe's most strategically important engineering organizations.
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.
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