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Lightning AI is building an end-to-end platform for developing, training, and deploying AI systems at scale. The company operates one of the largest AI-native clouds with 25,000+ H100, B200, and GB300 GPUs powering organizations globally. Following a merger with Voltage Park, Lightning AI combines developer-first software with cost-efficient, large-scale compute infrastructure.
As a Senior Backend Engineer on the Managed Services team, you will design and build the control planes, backend services, and automation that provision, operate, and scale Kubernetes and Slurm clusters across the GPU fleet. This role focuses on solving challenging distributed systems and cloud infrastructure problems rather than traditional SaaS backend work.
Key responsibilities include:
- Design and build backend services in Go or Python powering the managed infrastructure platform
- Develop control plane services that provision, orchestrate, and manage Kubernetes and Slurm clusters at scale
- Build distributed systems automating cluster lifecycle management, workload scheduling, infrastructure provisioning, and platform operations
- Develop platform capabilities using Kubernetes APIs, controllers, operators, and cloud-native technologies
- Improve reliability, scalability, security, and observability through automation and operational excellence
- Diagnose and resolve complex production issues across Kubernetes, distributed systems, networking, and cloud infrastructure
- Collaborate with cross-functional teams to deliver production-ready environments for AI workloads
The role requires a minimum of 2 in-office days per week at one of the U.S. office hubs (San Francisco, NYC, or Seattle, with SF and NYC preferred). Occasional team and company offsites are expected. The company is not able to provide visa sponsorship for this position.
