Jobs in the United States

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Senior Platform Software Engineer - OCI
Oracle
Olympia, WA
- $92,500 to $209,500 USD / year
Oracle Cloud Infrastructure (OCI) is looking for a Senior Platform Software Engineer to join the PKI team responsible for building and operating cloud-scale Public Key Infrastructure…
Added 3 mins ago
Site Reliability Engineer
Highmark Health
Olympia, WA
…potential disruptions to maintain the highest standards of care and operational efficiency. This role blends software engineering, clinical engineering, and security principles with a deep…
Added 3 mins ago
Sr Site Reliability Engineer -Remote US
SitusAMC
Olympia, WA
In this role, you will be supporting products that have recently been transitioned from on-prem data center into AWS Cloud. The position will be heavily involved in strategizing and…
Added 7 mins ago
Cloud Engineer III
American College of Education
Remote, United States
…exceptional experiences for students around the world. As a Cloud Engineer, you will play a critical role in designing, building, automating, and supporting our Microsoft Azure cloud…
Added 19 mins ago
Data Engineer 4 (Python, Oracle Database)
Capital One
Riverwoods, IL
Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business…
Added 32 mins ago
Azure Cloud Engineer
Bright Vision Technologies
Houston, TX
Bright Vision Technologies is seeking a Azure Cloud Engineer to build, secure, automate, and operate cloud or enterprise infrastructure and platforms. The work focuses on availability,…
Added 50 mins ago
VI
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO
- $31,533 USD / year
…applications. You will partner closely with AI/ML engineers, data scientists, and cross-functional teams to productionize LLM applications, RAG pipelines, and agentic AI workflows. You will…
Added 52 mins ago
IG
DevOps Engineer (Integrations & Automation)
Insight Global
Remote, United States
- From $82 USD / hour
This engineer owns the integration and automation layer that connects our operational tools. The anchor is end-to-end traceability, from ServiceNow intake through Jira and Azure DevOps to…
Added 1 hour ago
Senior Storage Engineer
Runware
Remote, United States
As Senior Storage Engineer, you will own the storage architecture of Runware's AI supercomputer: how model weights, caches and customer data move from object storage on two continents to…
Added 1 hour ago
Senior Software Engineer (Location Services)
CoreLogic Solutions, LLC
Austin, TX · Irvine, CA · San Diego, CA · Dallas, TX
We are seeking a Senior Software Engineer with proven geospatial expertise to join our Location Services team. You will design, build, and maintain scalable, reliable, high-performance…
Added 1 hour ago
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Sr. Associate
Pfizer
New York City, NY
- $79,400 to $132,400 USD / year
The Senior Associate, Solutions Software Engineer is a hands-on individual contributor who designs, builds, integrates, and supports digital solutions using approved enterprise platforms,…
Added 1 hour ago
Software Engineer, AI/ML
Meta
New York, NY
Use AI-augmented development workflows to expand scope across data analysis, product thinking, and operational readiness beyond core modeling work
Added 1 hour ago
Staff Backend Software Engineer (R50033532)
FOX
NEW YORK, NY
…while building an organization that thrives on creative ideas, operational expertise and strategic thinking.JOB DESCRIPTIONABOUT THE ROLEWe are looking for a Staff Backend Software Engineer…
Added 1 hour ago
Senior Engineer - Database Infrastructure
Hard Rock Digital
Remote, United States
Build observability in Prometheus, Grafana, Mimir, and Loki, join the data-layer on-call rota, and lead incident analysis and blameless postmortems.
Added 1 hour ago
Senior Cloud Software Engineer
Modern Technology Solutions Inc
Dayton, OH · Dayton
…modernize how analysts access, curate, search, and share mission data, enabling rapid, secure, cloud‑native information flow across domains and security enclaves, directly strengthening…
Added 1 hour ago
Cloud Software Engineer
Modern Technology Solutions Inc
Dayton, OH · Dayton
…modernize how analysts access, curate, search, and share mission data, enabling rapid, secure, cloud‑native information flow across domains and security enclaves, directly strengthening…
Added 1 hour ago
O
Principal Platform Software Engineer
Oracle
Nashville, TN
- $104,500 to $234,600 USD / year
…with OCI Compute, Networking, Storage, Identity, Security, Observability, and Developer services. The OKE team owns a highly available 24x7 cloud service and continues to expand the…
Added 2 hours ago
Software Engineer (Edge - Networking & Fleet)
Jobgether
Remote, United States
As a Software Engineer specializing in Edge networking and fleet infrastructure, you will build and scale the systems that power a large residential device network used for web data…
Added 2 hours ago
Infrastructure Engineer III
JPMC page
Plano, TX
…analysis and documentation, validating outputs and handling operational data according to sensitivity and security…
Added 2 hours ago
Senior Elastic Stack Data Integration Engineer IRES - SSFB/HSV
Amentum
Redstone Arsenal, AL
Position Title: Senior Elastic Stack Data Integration Engineer
Added 2 hours ago
Cloud Engineer
Progress Rail Services Corp.
Albertville, AL
The Cloud Engineer is responsible for designing, implementing, administering, and optimizing enterprise cloud and DevOps platforms that support application delivery, infrastructure…
Added 2 hours ago
Sr. Cloud Engineer
CGI Technologies and Solutions, Inc.
Huntsville, AL
CGI Federal is seeking a Senior Cloud Engineer to support cloud architecture, deployment, optimization, and sustainment activities within a major federal modernization program. This role…
Added 2 hours ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.…
Added 2 hours ago
TJ
Senior Software Engineer
Third-Party Job Posts
United States
- $140,000 to $180,000 USD / year
As a Senior Software Engineer on the Core AI Squad, you'll design, build, and operate customer-facing AI platform capabilities that power intelligent product experiences across Cloudbeds.…
Added 2 hours ago
Sr. Full Stack Software Engineer – AI Agents
Jobgether
Remote, United States
…steps. Our partner is looking for a Sr. Full Stack Software Engineer – AI Agents based in the United…

Runware

Senior Storage Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 4, 2026

Original job description

Runware is the AI inference platform that builds and runs its own infrastructure, end to end. Our Sonic Inference Engine has served more than 20 billion requests for over 1 million developers and 500 million end users, with 400,000+ models behind a single integration, at up to 10x lower cost per token than traditional providers. We are now building the AI Factory that runs it. The Sonic Inference Pod packs 1 MW of custom-designed compute into a 20-foot container with closed-loop, water-free cooling, sited wherever power exists. Pods are live in the US and Europe, and we are scaling to dozens of pods and tens of thousands of GPUs, all operated as one distributed fabric that reroutes traffic the moment a pod goes offline (announcement). Every one of those 400,000 models has to be on the right GPU, in the right pod, in seconds. Storage is what makes that possible. That is the job. The role As Senior Storage Engineer, you will own the storage architecture of Runware's AI supercomputer: how model weights, caches and customer data move from object storage on two continents to the NVMe and GPU memory of the node that needs them. You will design the data path, build the first version with your own hands, and set the standard for how storage is run across every pod. This is a hands-on senior individual-contributor role. You will specify the systems, benchmark them on real hardware, find the reason a 70 GB checkpoint took four minutes to load instead of twenty seconds, and then fix it at the root so it never happens again. You will work directly with our inference engine, platform and hardware teams, with our storage and NVMe vendors, and with the site teams deploying pods. Success means a cold model loads onto a GPU anywhere in the fleet in seconds, a new pod has its working set warm before it takes traffic, and a disk, node or whole site failing is invisible to the developer calling our API. What you'll do

Own the end-to-end storage architecture for the fleet: the durable object store that holds 400,000+ models, the per-pod high-throughput tier that feeds GPUs, the node-local NVMe cache, and the replication and placement logic that ties them together across the US and Europe.
Design and build the model distribution path. Decide how weights get from the source of truth to a pod, how they are chunked, deduplicated, prefetched and pinned, and how a new pod warms its working set before it takes production traffic.
Drive model load latency down and keep it down. Profile the full path from disk to GPU memory, including the kernel, file system, NVMe-oF or RDMA transport, GPUDirect Storage and the inference engine's loader, and remove the bottleneck wherever it sits.
Select, benchmark and operate the storage systems themselves: parallel and distributed file systems, object storage, NVMe drives and enclosures, and the software that manages them. Validate every choice on our hardware before it ships to a pod.
Set and hit reliability and durability targets. Own capacity planning, monitoring, alerting, drive health and failure prediction, rebuild behaviour, backup and recovery, and on-call for the storage layer.
Make storage a routine part of pod bring-up: a documented, automated playbook so that the storage tier of the next 1 MW pod is provisioned, validated and warm in hours, not weeks.
Partner with inference engine, platform and hardware engineering so that what we design is operable at scale, and feed what you learn from production back into the next generation of servers and pods.
Use AI to accelerate the work: automate benchmarks, runbooks, triage and tooling with LLM-based agents, so that a very small team can run storage for a very large fleet.
Own data residency and the operational side of storage security: encryption at rest, access control, retention and in-country placement for sovereign deployments.

Requirements

What we're looking for

8+ years in storage or systems engineering, with several of those designing and running storage at a company that operates its own hardware at scale.
A track record of building storage systems, not just operating what someone else built. You have taken a design from a whiteboard to petabytes in production and know what goes wrong between the two.
Deep, current, hands-on Linux storage expertise: the block layer, io_uring and NVMe queues, file systems such as XFS, ext4 and ZFS, the page cache, and the tools to see exactly where an I/O spends its time.
Real experience with at least one parallel or distributed file system in production (Lustre, WEKA, VAST, GPFS, Ceph or similar) and with S3-compatible object storage at petabyte scale.
Strong understanding of NVMe, NVMe-oF, RDMA transports and the networking that storage rides on. You can tell a saturated PCIe link from a slow drive from a misconfigured switch.
Fluent in a systems language (Go, Rust or C/C++) and Python, and comfortable writing the tooling, benchmarks and automation yourself rather than waiting for someone else to.
You use AI to accelerate your own output every day, for scripting, benchmarking, analysis, documentation and debugging, and you have a clear view of how a small team armed with these tools should operate differently.
Comfortable owning outcomes in a fast-moving, ambiguous environment, making decisions with incomplete information and being accountable for latency, durability and cost.
Able to travel to sites in the US and Europe as needed.

Nice to have

Experience feeding large GPU fleets for AI training or inference: GPUDirect Storage, NCCL-aware data loading, model weight caching and the loaders in vLLM, SGLang, TensorRT-LLM or similar engines.
Hands-on experience with InfiniBand or RoCE fabrics and 400G+ Ethernet from the storage side.
Experience with content-addressed or deduplicated storage, erasure coding, and multi-region replication and consistency trade-offs.
Kernel or driver contributions, or deep familiarity with SPDK, DPDK or user-space storage stacks.
Experience with Kubernetes CSI, Ceph or Rook on bare metal, and an automation stack such as Ansible and Terraform with Prometheus and Grafana observability.
Familiarity with the storage hardware supply chain: drive qualification, firmware lifecycle, enclosure and backplane design, spares and RMA economics.
Experience building or running storage to meet data residency, sovereignty or compliance requirements across jurisdictions.

Benefits

What we offer

A rare mandate: design the storage layer of an AI supercomputer from the ground up, at a company whose business depends on doing it better than anyone else, with the hardware budget and backing to match.
Meaningful stock options.
We're a remote-first collective, meeting in person twice a year to plan, brainstorm and celebrate wins. We keep core hours for collaboration and calls; outside those, you set your own schedule.
Our release cycles are fast and intense, and they're followed by real downtime. We expect you to take it.
Generous paid time off, including vacation, sick days and public holidays.
Paid maternity, paternity and caregiver leave.
Twice-yearly company retreats in inspiring locations.

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More about this job

Skills

Linux
Go
Rust
C
C++
Python
Kubernetes
Ansible
IBM Terraform
Prometheus
Grafana
Supply chain management
Firmware
Regulatory compliance

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