Software Engineer - Cloud Platform

March 12

🔄 Hybrid – Bay Area

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Logo of Kumo.AI

Kumo.AI

AI on the Modern Data Stack

Artificial Intelligence • Machine Learning • Modern Data Stack

11 - 50

💰 $18M Series B on 2022-09

Description

• Build and extend components of the core Kumo Cloud Infrastructure • Define a culture of engineering excellence and operational efficiency, especially as it relates to development and productization • Build and automate CI-CD pipelines, release tooling to support continuous delivery, and true zero-downtime deployments across different cloud providers using the latest cloud-native technologies • Work on advanced tools for cloud-native machine learning engine • Be part of the team implementing the first version of the SaaS platform • Implement features in a devops model for highly scalable and highly available cloud services • Develop infrastructure microservices for features such as usage tracking, diagnostics, monitoring, and alerting at cloud scale • Lead automation efforts to streamline global deployment effort

Requirements

• BS (or higher) in Computer Science or a related field • 4+ years relevant experience; 4+ years consistent record as an SRE; 4+ years working effectively in customer-facing cloud • Hands-on experience with Kubernetes on a public cloud (AWS, GCP) at scale • Extensive experience with Docker/Containers, Jenkins/Flux/Argo, and Terraform in a Linux environment • Experience with monitoring tools such as Prometheus, Grafana, etc. • Experience with Snowflake • Experience with security i.e. security testing, vulnerability, ISO27001, GRC, Risk under compliance, and more • Believe in Infrastructure As Code (IaC) and love automation and continuous delivery (CD)

Benefits

• Stock • Competitive Salaries • Medical Insurance • Dental Insurance

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