AI Storage Infrastructure Engineer - remote in the US

Talanto; Northern (KY); Hybrid; USD 93,000 - 224,000; Full time

Benefits offered by this job

Competitive compensation

Strong benefits plan

Professional development and training

Conference attendance

Company outings + hackathons

Job summary

Talanto is seeking a senior AI Storage Infrastructure Engineer to deploy and operate high-performance NFS-based storage for GPU-accelerated compute and AI platforms. You will integrate storage into Kubernetes via CSI, optimize data paths, and automate provisioning with Terraform/OpenTofu and GitOps pipelines in various deployment environments.

You will work on bare-metal and cloud-backed clusters, with a focus on performance, reliability, and observability; experience with VAST, PowerScale, and

Qualifications

• 7+ years in SRE or hardware/storage ops.
• 5+ years building/operating distributed storage at scale.
• 7+ years Linux and Kubernetes storage fundamentals (NFS, CSI).
• 1+ year integrating/building high-performance storage solutions (VAST, Weka, DDN, PowerScale).

Responsibilities

• Integrate NFS-based high-performance storage into Kubernetes via CSI and storage classes.
• Tune the NFS data path for high-throughput, low-latency GPU/AI workloads.
• Automate storage provisioning with Terraform/OpenTofu and GitOps pipelines (ArgoCD/Flux).

Skills

SRE/storage ops

Distributed storage systems

Linux & K8s storage

High-performance storage

Tools

NFS

CSI

Terraform/OpenTofu

Kubernetes tooling

Job description

AI Storage Infrastructure Engineer - remote in the US

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is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment — on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, ensures that customers retain full control of their infrastructure strategy.

Job Description

Overview

The role is to deploy, integrate, and operate high-performance storage for GPU-accelerated compute and AI platforms. You will own the storage layer where Kubernetes meets bare metal — standing up NFS-based high-performance storage, wiring it into clusters via CSI, and tuning it to keep data flowing to GPU workloads at scale. Work spans hybrid, edge, and air-gapped deployments built on the K0rdent stack.

About the Role

We are looking for a senior systems engineer who treats storage as infrastructure to be automated, observed, and tuned — not hand-managed. The right candidate is fluent in Kubernetes storage, deeply versed in Linux storage and networking fundamentals down to the kernel and NFS-client layer, and knows how to make high-performance NAS actually perform under demanding workloads. You should reach for infrastructure-as-code and GitOps by default, be self-directed in diagnosing performance and reliability issues end to end, set operational standards for others to follow, and communicate clearly across teams. Bare-metal hardware experience is a strong plus, but deep Linux storage knowledge is essential.

Responsibilities

1. Storage Integration & Operation

• Integrate NFS-based high-performance storage (e.g., VAST, Dell PowerScale) into Kubernetes clusters via CSI, storage classes, and persistent volumes.
• Tune the NFS data path — mount options, nconnect/RDMA, Linux client, and network settings — for high-throughput, low-latency GPU/AI workloads.
• Deploy and operate storage services and operators; manage capacity, quotas, snapshots, and lifecycle.
• Configure and optimize Linux systems for storage workloads, including driver setup, file system layout, network tuning, and kernel parameter optimization.
• Deliver storage integration for k0s-based Kubernetes via Cluster API (CAPI) and K0rdent management/child cluster topologies.
• Operate storage in fully disconnected (air-gapped) environments, including local artifact/mirror connectivity (Harbor) and PKI/TLS considerations.

3. Automation & Observability

• Automate storage provisioning and configuration with infrastructure-as-code (Terraform/OpenTofu) and GitOps pipelines (ArgoCD or Flux).
• Build monitoring, alerting, and observability for storage performance, capacity, and health.
• Diagnose and resolve performance, reliability, and scaling issues across the storage stack.

Qualifications

Required qualifications:

• 7+ years of experience in SRE or hardware/storage infrastructure operations
• 5+ years of building/operating distributed production Storage systems at scale
• 7+ years of experience in Linux and K8s storage fundamentals (NFS, CSI)
• 1+ yearsof experience integrating with or building High Performance Storage solutions (VAST, Weka, DDN, PowerScale)

Additional Information

What does offer you?

• Work with an established Silicon Valley leader in the cloud infrastructure industry;
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
• Be a part of cutting-edge, open-source innovation;
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
• Professional development and training;
• Attend conferences and working groups;
• Company outings, happy hours, hackathons, and tech talks;
• Receive a competitive compensation package with a strong benefits plan.

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8333–20104$ /month

8333 $ 25%

12291 $ median

20104 $ 75%

The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.