The opportunity
Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers.
What you'll do
Own the reliability, performance, and capacity health of Lambda's production: storage fleet across all data centers, operating behind Lambda's own software-defined data plane.
Build and maintain monitoring, dashboards, and alerting for storage: performance, capacity, and hardware failures.
Investigate and resolve storage-related incidents using deep telemetry, logs,: and performance profiling — from a single flapping NIC to a cluster-wide rebuild.
Automate ticketing, escalation, and incident-response workflows so the team: spends less time on repetitive triage and more time on root cause.
Design and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.
Implement CI/CD pipelines for storage automation and tooling.
What they're looking for
- Partner with Storage Engineers, Fleet Orchestration, and Release Engineering: to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.
- Work with hardware and networking teams to diagnose low-level I/O and network: issues — NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing — that surface as storage-layer symptoms.
- Participate in an on-call rotation supporting Lambda's storage fleet, with a: focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.
- + years of experience operating Linux systems in production or HPC: environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).