Back to jobs

Senior Software Engineer, Storage Platform

Chicago, IL or Remote

Moonlite delivers high-performance AI infrastructure for organizations running intensive computational research, large-scale model training, and demanding data processing workloads.We provide infrastructure deployed in our facilities or co-located in yours, delivering flexible on-demand or reserved compute that feels like an extension of your existing data center. 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

  • Experience: 5+ years in software engineering with proven experience building storage platforms, distributed storage systems, or data infrastructure for production environments.
  • Kubernetes Storage & Container Orchestration: Strong familiarity with Kubernetes storage architecture, persistent volumes, storage classes, and CSI drivers. Understanding of pods, deployments, stateful sets, and how Kubernetes manages storage resources.
  • Storage Systems Expertise: Deep understanding of storage architectures including block storage, object storage, file systems, distributed storage, and performance optimization techniques.
  • Programming Skills: Expert-level Python proficiency. Experience with C/C++, Rust, or Go for performance critical storage components is highly valued.
  • Linux & Systems Programming: Strong experience with Linux in production environments, including file systems, storage subsystems, and kernel-level storage interfaces
  • Data Systems Engineering: Strong background in building data pipelines, large-scale data processing systems, and managing data lifecycle at scale.
  • Experience: 5+ years in software engineering with proven experience building compute platforms, container orchestration, or distributed systems for performance-critical applications.
  • Storage Systems Expertise: Deep understanding of storage architectures including NVMe, distributed storage, caching strategies, and performance optimization for latency-sensitive workloads.
  • Programming Skills: Expert-level Python proficiency. Experience with C/C++,, Rust, Go for performance-critical components is highly valued.
  • Data Systems: Strong background in building data pipelines, ETL processes, and large-scale data processing systems.
  • Platform & API Design: Proven experience building storage platforms with multi-tenancy, data isolation, and enterprise-grade reliability features.
  • Problem Solving & Architecture: Demonstrated ability to solve complex performance and scalability challenges while balancing pragmatic shipping with good long-term architecture considerations.
  • Autonomy and Communication: Comfortable navigating ambiguity, defining requirements collaboratively, and communicating technical decisions through clear documentation.
  • Commitment to Growth: Growth mindset with focus on learning and professional development.

Preferred Qualifications

  • Background provisioning or managing storage for research computing environments (Kubernetes, SLURM, or HPC clusters)
  • Experience with high-performance storage solutions and their APIs
  • Background with object storage systems (S3-compatible APIs) and distributed file systems
  • Knowledge of storage networking technologies (NVMe-oF, iSCSI, storage fabric protocols)
  • Understanding of AI/ML data pipeline requirements and model training data access patterns
  • Experience building storage solutions for regulated industries with audit and compliance requirements
  • Knowledge of time-series databases and market data storage optimization is a plus
  • Extra points for experience with financial services data infrastructure and regulatory data protection requirements

Key Technologies

  • Python, NVMe, Distributed Storage Systems, C/C++, Rust, Go, Kafka, PostgreSQL, Redis, S3 APIs, Docker, Kubernetes, Terraform, FastAPI, Time-Series Databases

Why Moonlite

  • Build Next-Generation Infrastructure: Your work will create the platform foundation that enables financial institutions to harness AI capabilities previously impossible with traditional infrastructure.
  • Hands-On Ownership: As an early engineer, you’ll have end-to-end ownership of projects and the autonomy to influence our product and technology direction.
  • Shape Industry Standards: Contribute to defining how enterprise AI infrastructure should work for the most demanding regulated environments.
  • Collaborate with Experts: Work alongside seasoned engineers and industry professionals passionate about high-performance computing, innovation, and problem-solving.
  • Start-Up Agility with Industry Impact: Enjoy the dynamic, fast-paced environment of a startup while making an immediate impact in an evolving and critical technology space.

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.

#li-remote

Create a Job Alert

Interested in building your career at Moonlite? Get future opportunities sent straight to your email.

Apply for this job

*

indicates a required field

Resume/CV*

Accepted file types: pdf, doc, docx, txt, rtf

Cover Letter

Accepted file types: pdf, doc, docx, txt, rtf

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Moonlite’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Select...
Select...
Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Select...

Voluntary Self-Identification of Disability

Form CC-305
Page 1 of 1
OMB Control Number 1250-0005
Expires 04/30/2026

Why are you being asked to complete this form?

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to:

  • Alcohol or other substance use disorder (not currently using drugs illegally)
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS
  • Blind or low vision
  • Cancer (past or present)
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or serious difficulty hearing
  • Diabetes
  • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders
  • Epilepsy or other seizure disorder
  • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome
  • Intellectual or developmental disability
  • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD
  • Missing limbs or partially missing limbs
  • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports
  • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS)
  • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities
  • Partial or complete paralysis (any cause)
  • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema
  • Short stature (dwarfism)
  • Traumatic brain injury
Select...

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.