
About Kumo
AI solutions for predictive challenges in business
Key Highlights
- Founded by AI executives from Pinterest, Airbnb, and LinkedIn
- $36.5 million raised in Series B funding
- Headquartered in Mountain View, CA, with a South Bay office
- Focus on graph neural networks for predictive analytics
Kumo is a predictive AI platform headquartered in Mountain View, CA, leveraging graph neural networks to help businesses tackle complex predictive challenges. Founded by AI veterans from Pinterest, Airbnb, and LinkedIn, Kumo has raised $36.5 million in Series B funding to enhance its offerings. The ...
🎁 Benefits
Kumo offers a comprehensive benefits package including Gold Plan Health Insurance, dental and vision coverage, and a 401k plan. Employees enjoy unlimi...
🌟 Culture
Kumo fosters a culture driven by innovation and collaboration, with a strong emphasis on research and development. The company values flexibility, all...

Cloud Engineer • Mid-Level
Kumo • Mountain View - On-Site
Skills & Technologies
Overview
Kumo is hiring a Cloud Engineer to optimize and scale their AI infrastructure platform. You'll work with Kubernetes and AWS to manage predictive workloads. This position requires experience in cloud technologies and infrastructure management.
Job Description
Who you are
You have a strong background in cloud infrastructure engineering, with hands-on experience managing multi-tenant Kubernetes clusters. Your expertise in AWS allows you to optimize cloud resources effectively, ensuring high availability and performance for predictive workloads. You thrive in collaborative environments, working closely with machine learning, product, and engineering teams to drive impactful solutions. Your problem-solving skills enable you to make high-leverage architectural decisions that enhance system efficiency and scalability.
You are familiar with real-time inference and large-scale training processes, understanding the nuances of deploying AI models in production. Your experience with containerization technologies like Docker equips you to streamline deployment processes and improve operational workflows. You are driven by ambitious goals and are eager to contribute to a rapidly expanding team focused on innovative AI solutions.
What you'll do
As a Cloud Engineer at Kumo, you will own the infrastructure layer that supports thousands of predictive workloads. Your role involves scaling and optimizing the platform to ensure it meets the demands of real-time AI applications. You will collaborate with cross-functional teams to enhance multi-cloud capabilities, making architectural decisions that have a direct impact on production systems. Expect to iterate quickly, deploying changes that improve system performance within days.
You will be responsible for monitoring system performance and implementing best practices for cloud resource management. Your contributions will help shape the future of AI by enabling organizations to leverage predictive intelligence seamlessly. You will also engage in troubleshooting and resolving infrastructure issues, ensuring minimal downtime and optimal user experience.
What we offer
Kumo provides a unique opportunity to work at the forefront of AI technology, with a team of innovators from top-tier companies. You will be part of a culture that values collaboration and encourages professional growth. We offer competitive compensation and the chance to make a significant impact in the AI landscape. Join us in transforming how organizations utilize their data for predictive intelligence.
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