Software Engineer Lead, Kumo

• If you’ve built large-scale cloud-native infrastructure, led cross-team infrastructure initiatives, and want to influence both product and platform at a technical and organizational level, this role is for you
• 5-8+ years building and operating production cloud-native infrastructure; proven track record leading infrastructure initiatives end-to-end
• Deep, practical experience with Kubernetes at scale (multi-tenant environments, cluster federation, or large fleet operations)
• Strong multi-cloud operational experience (designing and running services across AWS/Azure/GCP) and cloud cost management
• Demonstrated systems design skills for distributed systems, making architectural trade-offs and comfortable shipping code in a high-velocity environment (Python, Go, or similar) and reviewing complex PRs
• Proficiency in Go, Python, Rust or similar languages for automation tooling
• Excellent communicator: able to influence across engineering, ML science, product, and leadership — and to write clear design docs and trade-off analyses

Desirable

• We’re hiring a Lead / Staff+ Infrastructure Engineer to own the architecture, reliability, and evolution of Kumo’s multi-tenant AI platform
• This is a hands-on leadership role: you’ll design high-leverage systems, make critical architectural decisions, mentor engineers, drive cross-functional roadmaps, and still spend a meaningful portion of your time writing code and running production services
• Set the technical vision and roadmap for Kumo’s multi-tenant infrastructure across AWS, Azure, and GCP, balancing scalability, reliability, cost, and security
• Lead architecture and design for critical systems: Kubernetes-based multi-tenancy, real-time inference clusters, training pipelines, and CI/CD for large ML workloads
• Hands-on implementation: build and evolve IaC, GitOps flows, cluster autoscaling, and automation that reduce toil and accelerate developer productivity
• Define and drive SLOs, SLIs, and capacity planning; lead incident response, postmortems, and systemic remediation
• Own cost optimization at scale — from resource scheduling to spot/commit strategies and cross-cloud lifecycle management
• Mentor and grow engineers: set standards for architecture reviews, design docs, code quality, and operational excellence
• Hire and help scale the team — participate in recruiting, interviewing, and onboarding top-tier infrastructure talent