Software Engineer - Cloud Engineering at Kumo

Mountain View, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Machine Learning, Cloud ComputingIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

KubernetesAWSAzureGCPEKSAKSGKETerraformPulumiCrossplaneArgo CDFluxPrometheusGrafanaOpenTelemetry

Questions & Answers

Common questions about this position

What compensation can I expect for this role?

Kumo offers a competitive Series B compensation package that includes salary plus meaningful equity.

Is this position remote or does it require office work?

This information is not specified in the job description.

What key skills are required for this Cloud Infrastructure Engineer role?

Required skills include 3–5 years of experience with cloud-native infrastructure, hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), solid Kubernetes knowledge with production cluster experience, proficiency with Infrastructure-as-Code tools like Terraform or Pulumi, and experience with GitOps workflows such as Argo CD or Flux.

What is the company culture like at Kumo.ai?

You'll work alongside world-class engineers and scientists from ex-Airbnb, Pinterest, LinkedIn, and Stanford, collaborating closely with senior engineers, ML scientists, and product teams in a rapidly scaling environment focused on building enterprise-scale AI infrastructure.

What makes a strong candidate for this position?

Strong candidates bring 3–5 years of cloud-native infrastructure experience, hands-on cloud and Kubernetes expertise, proficiency in IaC and GitOps tools, plus scripting skills and a collaborative problem-solving approach; multi-cloud exposure and observability familiarity are preferred.

Kumo

Generates and deploys predictive models

About Kumo

Kumo.ai specializes in creating and implementing accurate predictive models for organizations that need reliable forecasts for critical operations. Their platform uses Graph Neural Networks to analyze raw relational data, which removes the need for manual data preparation and enhances prediction accuracy and efficiency. Unlike many competitors, Kumo.ai's platform streamlines the entire Machine Learning lifecycle, from data preparation to model deployment, while also optimizing costs by eliminating unnecessary infrastructure. The company aims to provide a quick return on investment for its clients, which range from small businesses to large enterprises, by offering flexible deployment options through Software as a Service (SaaS) and Private Cloud models. Kumo.ai is built by experienced professionals from top tech companies and has already gained the trust of leading organizations globally.

Mountain View, CaliforniaHeadquarters

2021Year Founded

$35.5MTotal Funding

SERIES_BCompany Stage

Fintech, AI & Machine LearningIndustries

51-200Employees

Benefits

Stock Options

Medical Insurance

Dental Insurance

Risks

Increased competition from Databricks' Marketplace may divert potential customers.

The rise of multimodal AI could overshadow Kumo's current offerings.

Rapid AI advancements by tech giants may set new industry standards Kumo must meet.

Differentiation

Kumo.AI uses Graph Neural Networks for predictive modeling, eliminating manual feature engineering.

The platform offers a SQL-like Predictive Querying Language for rapid AI model creation.

Kumo.AI integrates with Snowflake's Native App Framework, enhancing model performance and scalability.

Upsides

Kumo's $18M Series B funding will expand its platform and market reach.

Integration with Snowpark Container Services enhances deep learning capabilities within Snowflake Data Cloud.

Kumo's platform supports both SaaS and Private Cloud models, offering client flexibility.

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