Software Engineer, Kumo

• If you’re passionate about multi-cloud infrastructure, Kubernetes at scale, and building the infrastructure that powers the next generation of AI applications — we’d love to talk
• 3–5 years of experience building or operating cloud-native infrastructure in production
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and (preferably) exposure to multi-cloud environments
• Solid understanding of Kubernetes concepts and operational experience with production clusters
• Proficiency with Infrastructure-as-Code tools (Terraform, Pulumi, or similar)
• Experience with GitOps workflows and tools like Argo CD, Flux, or Argo Workflows
• Familiarity with monitoring, logging, and tracing for distributed systems
• Scripting or programming skills in Python, Go, or Bash
• Strong problem-solving skills and a collaborative approach

Desirable

• Kumo is building a next-generation AI platform that empowers organizations to make predictive decisions faster—without the overhead of traditional ML pipelines
• Backed by Sequoia and led by ex-Airbnb, Pinterest, and LinkedIn leaders, we’re scaling rapidly and looking for a cloud infrastructure engineer to build and run the backbone of our AI platform
• Your work will directly power the models and applications our customers rely on every day
• Work alongside world-class engineers & scientists (ex-Airbnb, Pinterest, LinkedIn, Stanford)
• Be a foundational voice in designing a platform powering enterprise-scale AI
• The Cloud Infrastructure team builds and operates our Kubernetes-based, multi-cloud AI platform across AWS, Azure, and GCP
• As a Cloud Infrastructure Engineer, you’ll work on scaling, securing, and optimizing the platform that powers massive multi-tenant clusters running Big Data and AI/ML workloads
• You’ll collaborate closely with senior engineers, ML scientists, and product teams to deliver automation, improve reliability, and expand our multi-cloud capabilities
• This role offers the chance to deepen your Kubernetes and cloud expertise while taking ownership of impactful projects
• Deploy, operate, and maintain infrastructure across AWS, Azure, and GCP
• Build and manage Kubernetes clusters (EKS, AKS, GKE) with a focus on performance, availability, and cost efficiency
• Develop and maintain automation using Infrastructure-as-Code tools (Terraform, Pulumi, Crossplane)
• Implement and enhance GitOps workflows using Argo CD or Flux
• Set up and maintain observability systems (Prometheus, Grafana, OpenTelemetry) to monitor workloads and clusters
• Collaborate with the team to design, test, and roll out improvements to scaling and reliability
• Troubleshoot incidents and participate in on-call rotations to ensure platform uptime
• Contribute to security best practices, including RBAC, tenant isolation, and cloud identity management