Full-Time

Software Engineer

Cloud Engineering

Confirmed live in the last 24 hours

Kumo

Kumo

51-200 employees

AI-driven predictive analytics automation platform

AI & Machine Learning
Data & Analytics

Mid

Mountain View, CA, USA

Required Skills
Kubernetes
Python
Docker
Requirements
  • BS in Computer Science or related field
  • 3+ years of experience in C++, Python, Go, or similar languages
  • Experience with Infrastructure-as-Code development
  • Experience with B2B SaaS and architecting large-scale distributed systems
  • Experience with Docker and Kubernetes
  • Experience with CI/CD and deployment strategies
  • Hands-on experience with Kubernetes on public clouds
  • Experience with MLOps tooling and popular Data platforms
  • Experience with security practices and monitoring tools
  • Proficiency in developing customer-facing Web Front Ends or public APIs/SDKs
Responsibilities
  • Architect scalable systems for the Kumo platform
  • Collaborate with ML scientists, product engineers, and leaders
  • Lead automation efforts for global deployment
  • Build Kumo ML Ops platform
  • Define culture of engineering excellence
  • Develop infrastructure microservices for cloud scale
  • Automate CI/CD pipelines and release tooling
  • Work on advanced tools for cloud-native machine learning engine

Kumo provides an end-to-end predictive analytics automation platform powered by cutting-edge AI, including Graph Neural Network technology, enabling users to make predictions in days with no ML experience required. The platform's 'Predictive Querying' language simplifies decision-making and delivers more accurate predictions across various use cases, such as customer acquisition, retention, personalization, forecasting, and fraud detection.

Company Stage

Series B

Total Funding

$54.5M

Headquarters

Mountain View, California

Founded

2021

Growth & Insights
Headcount

6 month growth

0%

1 year growth

34%

2 year growth

161%