Site Reliability Engineering Manager, AI Platform
2 weeks ago
We are seeking an exceptional Site Reliability Engineering Manager to lead our team in driving reliability for Adobe's AI Inference Platform, Adobe Firefly. As a key member of our Engineering organization, you will be responsible for developing a team of Site Reliability Engineers who will work closely with our Engineering teams to build, scale, and secure the AI Platform.
Key Responsibilities- Guide the 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.
- A BS or MS degree in Computer Science, Electrical Engineering, a related field, or equivalent industry experience.
- 3+ years of experience as an Engineering Manager.
- Experience in building and scaling distributed systems, as well as experience with containerization and orchestration technologies like Kubernetes.
- 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.
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San Jose, California, United States Adobe Full timeAbout the RoleWe are seeking an exceptional Site Reliability Engineering Manager to lead our team in driving reliability for Adobe's AI Inference Platform, Adobe Firefly. As a key member of our Engineering organization, you will be responsible for developing a team of Site Reliability Engineers who will work closely with our Engineering teams to build,...
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