Senior Site Reliability Engineer

About the Company

Clarifai is a leading, full-lifecycle deep-learning AI platform for computer vision, natural language processing, LLM 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, Canada, Argentina, India and 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 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