Site Reliability Engineer, AI Platform Training
6 days ago
We are seeking an exceptional Site Reliability Engineer to join our team at Adobe, working on the AI Training Platform, Adobe Firefly. As a key member of our team, you will collaborate closely with Engineering teams to build, scale, and secure the AI Platform, enabling Firefly product teams to easily manage and deploy Machine Learning capabilities used by Adobe client applications.
Key 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 (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.
- A Bachelor's or Master's degree in Computer Science, Electrical Engineering, a related field, and 5+ years relevant industry experience.
- Experience in building and scaling distributed systems, as well as experience with containerization and orchestration technologies like Kubernetes.
- Production level expertise with containerization orchestration engines (e.g. Kubernetes) and proven 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
- 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, public cloud, and commercial AI/ML solutions - familiarity with Pytorch, SageMaker, HuggingFace, NVIDIA TensorRT or OpenAI Triton a plus.
At Adobe, we offer a competitive compensation package, including a base salary and short-term incentives. Certain roles may be eligible for long-term incentives in the form of a new hire equity award. We are an equal opportunity employer and welcome applicants from diverse backgrounds. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please email or call (408).
We are committed to creating a workplace where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours.
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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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