SWE - Cloud Engineering at kumo.ai – Mountain View, California
kumo.ai
Mountain View, California, United States
Posted on
Employment Type:Full-Time
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About This Position
About Kumo.ai
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. 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.
- Work alongside world-class engineers & scientists (ex-Airbnb, Pinterest, LinkedIn, Stanford).
- Be a foundational voice in designing a platform powering enterprise-scale AI.
- Competitive Series B compensation package (salary + meaningful equity).
- 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.
- 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.
Nice to Have
- Experience with multi-tenant Kubernetes clusters for AI/ML or big data workloads.
- Knowledge of compliance and security standards (SOC2, GDPR, ISO27001).
- Contributions to open-source cloud-native projects.
- Familiarity with Kubernetes operators, controllers, or custom resources.
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Job Location
Mountain View, California, United States
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