Site Reliability Engineering Manager, AI Platform

4 weeks ago

San Jose, California, United States Adobe Full time
Job Title: Site Reliability Engineering Manager, AI Platform

About the Role:

We are seeking an experienced Site Reliability Engineering Manager to lead our AI Inference Platform team at Adobe. As a key member of our Engineering organization, you will be responsible for developing and implementing strategies to ensure the reliability, scalability, and security of our AI Platform.

Key Responsibilities:

* Develop and execute technical vision and roadmap for AI Platform Inference infrastructure
* Grow and lead a team of dedicated SRE engineers
* Engage with Firefly Engineering and Firefly App Integrations team to understand their needs and goals to drive the platform's reliability
* Identify and implement methodologies and solutions to increase reliability, scalability, security, and efficiency
* Ensure the highest uptime and Quality of Service (QoS) for Adobe's customers through operational excellence
* Define service level objectives (SLOs) and indicators (SLIs) to represent and measure service quality
* Support and maintain globally distributed, multi-cloud (public and/or private) environments
* Automate common, repeatable tasks at a large scale to streamline operational procedures
* Identify areas to improve service resiliency through techniques such as chaos engineering, performance/load testing, etc.
* Coordinate with other Adobe platform teams and service providers (primarily AWS) to innovate on Generative AI as a Service
* Ensure inference services improve GPU utilization, scale models independently, and optimize COGs

Requirements:

* BS or MS degree in Computer Science, Electrical Engineering, a related field, or equivalent industry experience
* 3+ years of experience as an Engineering Manager
* Strong communication and collaboration skills - building strong relationships with internal customers and external partners
* Dedication to team-work, self-organization, and continuous improvement
* A track record of leading high-performance teams to deliver results in a fast-paced and dynamic environment of AI infrastructure
* Production level expertise with containerization orchestration engines (e.g. Kubernetes) and demonstrated understanding of modern, continuous development techniques and pipelines (IaC, CI/CD, ArgoCD, Git)
* Fundamental programming skills, ideally practical experience in one (and preferably more) of the following languages: Python, Go or Java
* An understanding of AI/ML, including ML frameworks, public cloud, and commercial AI/ML solutions - familiarity with Pytorch, SageMaker, HuggingFace, NVIDIA TensorRT or OpenAI Triton a plus

What We Offer:

* Competitive compensation package
* Opportunity to work with a talented team of engineers
* Collaborative and dynamic work environment
* Professional growth and development opportunities
* Recognition and rewards for outstanding performance

Equal Employment Opportunity:

Adobe is an equal employment opportunity and affirmative action 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.

Accessibility:

Adobe aims to make its website and application 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, please email or call

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