Clarifai is a leading, compute orchestration AI platform specializing in computer vision and generative AI. We empower organizations to transform unstructured image, video, text, and audio data into actionable insights, significantly faster and more accurately than manual processes. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been at the forefront of AI innovation since achieving the top five placements in the 2013 ImageNet Challenge. Our diverse, globally distributed team operates across the United States, Canada, Estonia, Argentina, and India.

We have secured $100M in funding, including a $60M Series C round, backed by industry leaders such as Menlo Ventures, Union Square Ventures, Lux Capital, NEA, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm, and Osage.

Clarifai is proud to be an equal-opportunity workplace committed to building and maintaining a diverse and inclusive team.

Your Impact

Clarifai’s platform is a kubernetes-native distributed system that requires the orchestration of many components. Efficiently serving and training large neural networks presents unique design and infrastructure challenges.

You will be critical to solving these challenges both in the context of the cloud and in on premise environments. Additionally, you will be responsible for our broader cloud infrastructure and development tools and environments.

The Opportunity

Ensure the smooth operation and high availability of Clarifai's core services
Monitor system performance, identify bottlenecks, and implement optimizations to enhance reliability and efficiency
Develop Kubernetes resources and custom tooling for seamless cloud and on-premise deployments
Design and implement scalable, secure, and cost-effective infrastructure solutions.
Partner with teams across the organization to identify & solve engineering challenges

Requirements

BS/BA in Computer Science or related degree
Good knowledge of cloud providers (AWS, GCP or similar)
Expertise with Kubernetes (EKS, GKE, self-hosted) and Infrastructure as Code using Terraform, Helm
Solid understanding of web and networking (HTTP, TLS, DNS, Certificates, etc)
Experience with CI/CD pipelines using tools such as GitHub Actions, ArgoCD, and Atlantis
Strong interpersonal skills working with teams across different time zones and regions

Great to Have

Knowledge of basic Microservice Architecture principles
Familiarity with security best practices for cloud-based systems.
Experience with relational databases, message queues, key value stores
Experience writing python, golang, or any other popular programming language
Familiarity with any RPC framework
Experience developing & building custom Kubernetes operators

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