Senior Backend Engineer, Managed Services

What We're Looking For

Lightning AI runs one of the largest AI-native clouds, with 25,000+ H100, B200, and GB300 GPUs powering organizations building, training, and deploying AI at scale. To deliver that experience, our Managed Services team builds the systems that make complex GPU infrastructure simple, reliable, and easy for customers to use without managing the underlying infrastructure themselves.

As a Senior Backend Engineer on the Managed Services team, you'll build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across our GPU fleet. Your work will turn raw GPU capacity into production-ready environments where customers can seamlessly train models, run inference, and deploy AI workloads.

This isn't a traditional SaaS backend role. You'll solve challenging distributed systems and cloud infrastructure problems, building the automation and platform capabilities that keep large-scale Kubernetes and Slurm environments scalable, observable, and resilient.

This role is based in one of our U.S. office hubs (San Francisco, NYC, or Seattle, with SF and NYC preferred), with a minimum of 2 in-office days per week and occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.

What You’ll Do

• Design, build, and operate backend services in Go or Python that power Lightning AI's managed infrastructure platform.
• Develop control plane services that provision, orchestrate, and manage Kubernetes and Slurm clusters across large-scale GPU infrastructure.
• Build distributed systems that automate cluster lifecycle management, workload scheduling, infrastructure provisioning, and platform operations..
• Develop platform capabilities using Kubernetes APIs, controllers, operators, and other cloud-native technologies.
• Improve the reliability, scalability, security, and observability of our managed platform through automation and operational excellence.
• Diagnose and resolve complex production issues across Kubernetes, distributed systems, networking, and cloud infrastructure.
• Collaborate with infrastructure, AI, and platform engineering teams to shape the future of our cloud platform.
• Contribute to technical design, architecture, mentoring, engineering best practices, and on-call operations.

What You’ll Need

Required Qualifications

• Significant professional experience designing, building, and operating production backend systems using Go or Python.
• Deep hands-on experience with Kubernetes or Slurm, including operating large-scale production environments.
• Strong understanding of distributed systems, cloud-native architectures, and production infrastructure.
• Experience designing and building scalable backend services, APIs, and automation for infrastructure or platform operations.
• Strong understanding of networking, storage, and cloud infrastructure fundamentals.
• Familiarity with observability, CI/CD, testing, production operations, and incident response.
• Ability to own complex technical projects while collaborating effectively across engineering teams.

Ideal Experience

Experience with one or more of the following:

• Kubernetes platform development, including operators, controllers, CRDs, or control plane components
• Slurm administration, scheduling, or HPC environments
• Infrastructure-as-Code or GitOps tooling such as Terraform, Crossplane, Helm, Argo CD, Flux, or Kustomize
• GPU infrastructure, AI platforms, or large-scale compute environments
• Kubernetes networking, storage, or multi-tenant platform architecture
• Event-driven systems, gRPC, or distributed messaging
• Building CI/CD systems for production environments
• Contributions to cloud-native or open source infrastructure projects

Compensation