Sr Site Reliability Engineer, AI Platform Inference

About the position

Adobe is on a mission to change the world through digital experiences, empowering everyone from emerging artists to global brands to design and deliver exceptional digital experiences. We are looking for an outstanding Site Reliability Engineer for Adobe’s AI Inference Platform, Adobe Firefly. This role involves working closely with Engineering teams to build, scale, and secure the AI Platform, enabling product teams to manage and deploy Machine Learning capabilities used by Adobe client applications. The platform will support thousands of models in various lifecycle stages and will provide ML model serving at scale across multiple clouds.

Responsibilities

• 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 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 and performance/load testing.
• Coordinate with other Adobe platform teams and service providers to innovate on Generative AI as a Service.

Requirements

• A Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent industry experience.
• Experience in building and scaling distributed systems.
• Experience with containerization and orchestration technologies like Kubernetes.
• Production level expertise with containerization orchestration engines (e.g. Kubernetes) and understanding of modern continuous development techniques and pipelines (IaC, CI/CD, ArgoCD, Git).
• Fundamental programming skills, ideally practical experience in one or more of the following languages: Python, Go.
• Good knowledge of infrastructure configuration management tools like Ansible and Terraform.
• Experience in using observability and tracing-related tools like InfluxDB, Prometheus, and Elastic Stack.
• An understanding of AI/ML, including ML frameworks and commercial AI/ML solutions.

Nice-to-haves

• Familiarity with Pytorch, SageMaker, HuggingFace, NVIDIA TensorRT or OpenAI Triton.

Benefits

• Competitive salary range of $153,600 -- $286,600 annually based on location and experience.
• Short-term incentives in the form of the Annual Incentive Plan (AIP).
• Long-term incentives in the form of a new hire equity award for certain roles.
• Commitment to equal opportunity and affirmative action.