Senior Engineer, Storage

Talanto; New York, Northern (NY, KY); Hybrid; USD 153,000 - 204,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Company-paid Life Insurance

Discretionary bonus

Equity awards

401(k) with employer match

Flexible PTO

Tuition Reimbursement

Employee Stock Purchase Program

Job summary

Talanto is seeking an experienced Storage Systems Engineer to design and implement distributed storage for AI workloads at scale. You’ll build exabyte-scale, S3-compatible storage and integrate clusters into diverse customer environments.

You will work with RDMA, GPU Direct Storage, NFS/FS, Ceph/DAOS, and Kubernetes while improving reliability, observability, and performance across the stack. Mentoring and cross-team collaboration are key parts of the role.

Qualifications

• 7+ years of experience in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production.
• Experience with storage protocols (e.g. S3, NFS) and file systems like Ceph or DAOS.

Responsibilities

• Design and implement distributed storage solutions to support scaling data-intensive AI workloads.
• Develop exabyte-scale, S3-compatible object storage and integrate storage clusters into diverse environments.
• Work with RDMA, GPU Direct Storage and distributed FS protocols to optimize performance.
• Improve reliability, durability, security, and observability of the storage stack.
• Collaborate with operations to monitor, troubleshoot, and improve storage systems.
• Set metrics and dashboards to provide visibility into storage performance and health.
• Analyze telemetry and system data to drive throughput, latency, and resilience improvements.
• Collaborate across platform, product, and infra teams to deliver storage capabilities.
• Mentor engineers on best practices for building distributed, high-performance systems.

Skills

Storage systems engineering

Distributed storage

Go

C

Rust

RDMA

GPU Direct Storage

S3

NFS

Ceph

DAOS

Kubernetes

Prometheus

Grafana

Education

Bachelor's, Master's, or PhD in CS/Engineering or related field

Tools

Ceph

DAOS

Prometheus

Grafana

Job description

is The Essential Cloud for AI™. Built for pioneers by pioneers, delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at .

What You’ll Do:

The Storage Engine Team at is responsible for the product capabilities and data plane function of 's managed storage products. We build reliable, scalable storage solutions with segment leading performance. Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world's most demanding AI workloads.

About the role:

• Design and Implement distributed storage solutions to support scaling data intensive AI workloads.
• Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
• Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency.
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack.
• Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments.
• Set the bar for developing metrics and dashboards to provide visibility into storage performance and health.
• Analyze telemetry and system data to drive improvements in throughput, latency, and resilience.
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack.
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Who You Are:

• Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related field.
• 7+ years of experience working in storage systems engineering or infrastructure.
• Strong hands-on experience with object storage or distributed filesystems in production environments.
• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Proficiency leveraging AI tools to augment software development.
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana).
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures.

Wondering if you're a good fit?

We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.

• You love to grow and push the boundaries of your expertise
• You're curious about distributed storage and the demands AI/ML workloads
• You're an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems.

Why ?

At , we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $153,000 - $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

The base salary range for this role is $XX to $XX. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:

• Medical, dental, and vision insurance - 100% paid for by
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

California Applicants

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Equal Opportunity & Accommodations

is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: .

Export Control Compliance

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. may, for legitimate business reasons, decline to pursue any export licensing process.