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Jobright.ai

Software Engineer - Cloud Engineering, Mid-Level

Jobright.ai, Mountain View

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Job Summary:

Kumo is building a next-generation AI platform that empowers organizations to make predictive decisions faster. They are seeking a Cloud Infrastructure Engineer to build and run the backbone of their AI platform, focusing on multi-cloud infrastructure and Kubernetes at scale.

Responsibilities:

• 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.

Qualifications:

Required:

• 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.

Preferred:

• 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.

Company:

Kumo is an AI model company that provides a platform for anyone to train and run state-of-the-art AI models on their relational data. Founded in 2021, the company is headquartered in Mountain View, California, USA, with a team of 51-200 employees. The company is currently Growth Stage. Kumo has a track record of offering H1B sponsorships.

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Industries

    Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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