Jobright.ai
Software Engineer - Cloud Engineering, Mid-Level
Jobright.ai, Mountain View, California, us, 94039
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Software Engineer - Cloud Engineering, Mid-Level
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Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Software Engineer - Cloud Engineering, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Software Engineer - Cloud Engineering, Mid-Level
role at
Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the
Software Engineer - Cloud Engineering, Mid-Level
role at
Jobright.ai Get AI-powered advice on this job and more exclusive features. Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. 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 Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Software Engineer jobs in
Mountain View, CA . Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 2 weeks ago Mountain View, CA $125,400.00-$188,100.00 2 weeks ago Software Engineer (L4), Content & Business Products
Sunnyvale, CA $56.25-$137,000.00 3 days ago Mountain View, CA $158,000.00-$198,000.00 2 days ago Palo Alto, CA $96,000.00-$200,000.00 3 weeks ago Mountain View, CA $130,000.00-$176,000.00 1 week ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On Site
San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago San Jose, CA $93,200.00-$170,600.00 2 weeks ago Palo Alto, CA $180,000.00-$440,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 2 weeks ago Software Engineer I (Intern) United States
San Jose, CA $44,000.00-$130,000.00 3 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr