Senior Site Reliability Engineer
About the Company
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia.
We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage.
Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
Your focus on engineering efficiency will empower the engineers around you to deliver products faster than ever before while your knowledge of service reliability best practices will help Clarifai scale to meet growing customer demand.
We build the systems and services that other engineers use to build the Clarifai products. Neural networks are data-hungry beasts and we work to keep them well-fed. Clarifai’s infrastructure team is responsible for the overall availability and reliability of the products we sell. We work with the other engineering teams to ensure they have the tools and resources they need to deliver the best product for our customers.
- You’re a doer with the ability to drive projects forward.
- Monitor and maintain the stability and scalability of our products and work with teams to identify and resolve potential bottlenecks.
- Develop and maintain the internal services that power our infrastructure.
- Provide the tools and platforms used by our engineers to build and maintain our products.
- Proficiency in Python, Golang, C++, or Java.
- You are well-versed in observability and reliability best practices.
- Experience deploying container orchestration (e.g. Kubernetes, GKE, EKS, et al.)
- Experience debugging and operating common cloud datastores (RDS, Cloud SQL, Redshift, et al.) or their open source alternatives.
- You are an expert with CI/CD pipelines.
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