Senior Software Engineer, Storage Platform

Senior Software Engineer, Storage Platform

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large‑scale model training, and demanding data processing workloads. Our team of AI infrastructure specialists combines bare‑metal performance with cloud‑native operational simplicity, enabling research teams and enterprises to deploy demanding AI workloads with enterprise‑grade reliability and compliance.

Your Role

You will be central to building our high‑performance storage platform that enables research teams to work with massive datasets for AI training, large‑scale simulations, and data‑intensive computational workloads. Working closely with product, your platform team members, and infrastructure specialists, you'll design and implement storage systems that deliver high‑throughput data access, manage multi‑TB to PB‑scale datasets, and provide the data protection and lifecycle management required by enterprise and research organizations.

Job Responsibilities

• Storage Platform Architecture : Design and build scalable storage orchestration systems supporting block, object, and file storage optimized for AI training datasets, model checkpoints, simulation data, and large‑scale data processing pipelines.
• Research Cluster Storage : Design and implement storage systems for research computing environments including Kubernetes and SLURM clusters, enabling shared datasets, persistent storage for distributed training, model checkpoints, and high‑throughput data access for batch processing workloads.
• High‑Performance Data Access : Implement storage solutions that deliver consistent high‑throughput and low‑latency performance for demanding research workloads, including distributed training, large‑scale simulations, and real‑time data processing.
• Data Pipeline Engineering : Build robust data ingestion, processing, and movement systems that handle massive datasets, support efficient data loading for training pipelines, and enable seamless data access across compute infrastructure.
• Multi‑Tiered Storage Orchestration : Build systems that coordinate across NVMe, SSD, and high‑capacity storage tiers, placing and moving data based on access patterns and workload requirements.
• Enterprise Data Protection : Implement comprehensive backup, snapshot, replication, and disaster recovery systems that meet enterprise data protection requirements and support zero‑data loss policies.
• Storage APIs & Integration : Create storage management APIs and SDKs that integrate seamlessly with compute platforms, research workloads, and financial data feeds.
• Observability and Performance : Build monitoring and optimization systems that ensure consistent storage performance, track capacity utilization, and provide visibility into data access patterns.

Requirements

Preferred Qualifications

Key Technologies

Why Moonlite

Compensation and Benefits

We offer a competitive total compensation package combining a competitive base salary, startup equity, and industry‑leading benefits. The total compensation range for this role is $165,000 – $225,000, which includes both base salary and equity. Actual compensation will be determined based on experience, skills, and market alignment. We provide generous benefits, including a 6% 401(k) match, fully covered health insurance premiums, and other comprehensive offerings to support your well‑being and success as we grow together.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

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