Remote jobs in the United States

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Added 2 hours ago
Senior Software Engineer, Biggy Engineering
BigPanda
Remote, United States
You will work on systems involving LLMs, agents, RAG, knowledge graphs, vector databases, workflow orchestration, enterprise integrations, automation, web applications, APIs, Slack and…
Added 15 hours ago
Senior Principal Forward Deployed Engineer
Atlassian
Remote, United States
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.
Added 20 hours ago
Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
As a Solutions Engineer at Coursedog, you’ll lead the demos, scoping, and CX calls that align customers, Sales, and Customer Success before a deal is booked. You’ll work closely with…
Added 20 hours ago
Maximo Infrastructure Architect/Engineer
MaxAccelerate
Remote, United States
AI infrastructure, private model hosting, data platforms or secure enterprise integrations.
Added 21 hours ago
GTM Systems Engineer
Roboflow
Remote, United States
We’re hiring a GTM Systems Engineer to build and scale the systems our revenue team runs on, reporting into the Revenue Operations lead and working hand-in-hand with sales leadership,…
Added 1 day ago
Senior Snowflake Engineer (LATAM)
Lateral Group
Remote, United States
Implement data ingestion frameworks and integrations from multiple sources (APIs, files, SaaS systems, cloud storage, etc.).
Added 1 day ago
AI Principal SW Systems Engineer
Extreme Networks, Inc.
Remote, United States
Title of position: Principal Software Systems Engineer
Added 1 day ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
…will tackle greenfield architectural challenges at massive enterprise scale, working alongside collaborative security, AI, and platform leaders in a supportive environment dedicated to…
Added 1 day ago
Senior Data Architect
Jobgether
Remote, United States
We are seeking an experienced Senior Data Architect to lead the design and delivery of modern, enterprise-scale data platforms, with a strong focus on Microsoft Fabric and the Azure…
Added 1 day ago
Vice President, Enterprise Revenue Operations
Jobgether
Remote, United States
As Vice President of Enterprise Revenue Operations, you will shape and lead the strategy, systems, and processes that drive sustainable revenue growth across a complex, multi-brand…
Added 1 day ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
…Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United…
Added 1 day ago
Cloud Solutions Engineer
Humana Inc.
Remote, United States
Build and maintain integrations between cloud platforms, APIs, and enterprise applications.
Added 1 day ago
Cloud Solutions Engineer
Humana Inc.
Remote, United States
Build and maintain integrations between cloud platforms, APIs, and enterprise applications.
Added 1 day ago
Enterprise Account Executive US West (Remote US West)
n8n
Remote, United States
…by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for…
Added 1 day ago
Enterprise Account Executive US Central (Remote US Central)
n8n
Remote, United States
…by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for…
Added 1 day ago
I
Principal Software Engineer
ITHAKA
Remote, United States
- $129,076 to $185,547 USD / year
Principal level, Principal Software Engineer:
Added 1 day ago
Managed Services Engineer
SHI International Corp
Remote, United States
3+ years of relevant experience as a Systems Engineer, Windows Engineer, Infrastructure Engineer, Systems Administrator, or similar role within an MSP or enterprise environment.
Added 1 day ago
F
Security Systems Engineer
Fluidstack
Remote, United States
- $224,000 to $275,000 USD / year
- Build the integrations, APIs, and monitoring that tell you a site is degrading before anyone files a ticket, on an estate adding campuses faster than any manual model can track.
Added 1 day ago
Senior Forward Deployed Solution Engineer
Spectro Cloud
Remote, United States
We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU…
Added 1 day ago
W4
Junior Data Engineer
West 4th Strategy
Remote, United States
- $100,000 to $105,000 USD / year
We need an experienced Data Engineer at the Office of the Under Secretary of Defense for Personnel and Readiness (OUSD(P&R)) Comptroller. This office manages the budget and financial…
Added 1 day ago
H
Senior Infrastructure Engineer
Harvey
Remote, United States
- $153,000 to $210,500 USD / year
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how…
Added 1 day ago
Principal Software Engineer
HM Health Solutions Inc.
Remote, United States
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 1 day ago
Senior Technical IT Storage Engineer
HM Health Solutions Inc.
Remote, United States
…that includes infrastructure, systems, networks, applications, integrations, etc. They will work closely with other technical IT professionals, analysts, and engineers to build and optimize…
Added 1 day ago
Systems Engineer II
By Light Professional IT Services LLC
Remote, United States
The Systems Engineer II is responsible for the design, implementation, maintenance, security, and ongoing support of enterprise infrastructure systems across multiple business locations.
Added 1 day ago
US LBM Lead Software Engineer – Application Development (Pricing)
US LBM Service Co
Remote, United States
The US LBM Lead Software Engineer – Application Development (Pricing) will provide technical leadership while remaining hands-on in the design, development, and support of applications,…

Spectro Cloud

Senior Forward Deployed Solution Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

About Spectro Cloud We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU fabric, and working with Customer leaders to be the tip of our FDE practice and guide the Customer to successful technical and business outcomes. You will join the FDE team and at the point with our Customer(s) where business or mission goals meet technical reality. You will translate desired outcomes into deployable architectures, build the automation and integrations needed to make those architectures real, and guide each deployment from first working capability through production readiness, scaled adoption, and operational handoff and working closely with our other FDE practice resources and the aligned Deployment Strategist. This is hands-on engineering not traditional staff augmentation, and not a role where the work ends with a slide deck or demo. You will work across Palette / PaletteAI, Kubernetes, cloud, bare metal, edge, GPU systems, data pipelines, high-performance networking, and the NVIDIA software and hardware ecosystem. You will also bring what you learn back into Product and Engineering so that the next deployment is faster, more standardized, and easier for our FDE teams and Customers to operate independently. The best candidates enjoy ambiguity, learn quickly, communicate directly, and care deeply about the difference between technology that is installed and capability that is genuinely useful. About You You thrive where the problem is important, the environment is complex, and the path is not yet fully defined. You can move between code, infrastructure, networking, user workflows, architectural reviews and guidance with other FDE team members, and Customer conversations without losing the thread of the outcome. You are curious without being careless, confident without pretending to know everything, and pragmatic without accepting permanent shortcuts. You communicate early when risk changes, write down what others will need later, and know that the best technical solution is one the customer can operate successfully. We do not expect one person to have deployed every product and technology outlined in this description. We do expect deep Kubernetes and automation capability, strong systems reasoning, customer-facing judgment, and the ability to become productive quickly in unfamiliar parts of the stack. Required qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.
6+ years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customerfacing technical role.
Production experience designing, deploying, upgrading, and troubleshooting Kubernetes clusters and cloud-native applications.
Strong Linux and distributed-systems fundamentals, including processes, networking, storage, identity, certificates, resource management, and failure analysis.
Proficiency in at least one modern programming language preferably Go or Python and the ability to produce maintainable, tested, production-quality code.
Hands-on experience with infrastructure as code and configuration automation using technologies such as Terraform, Ansible, Cluster API, Helm, Kustomize, and equivalent tools.
Experience implementing CI/CD or GitOps workflows using platforms such as GitHub Actions, GitLab CI, Jenkins, Argo CD, Flux, or comparable systems.
Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policy, admission controls, quotas, secrets, pod security, and tenant isolation.
Experience with at least one major public cloud and at least one datacenter deployment model such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.
Working knowledge of GPU-enabled infrastructure, including the relationship among firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.
Working knowledge of the AI data and model lifecycle from data ingestion through model deployment, inference, monitoring, and feedback.
Solid networking fundamentals, including TCP/IP, routing, switching, DNS, BGP, load balancing, overlays, MTU, latency, bandwidth, congestion, and packet-level troubleshooting.
Familiarity with high-performance AI networking concepts such as RDMA, RoCE, InfiniBand, SR-IOV, GPUDirect, and collective communication.
Ability to communicate architecture, tradeoffs, status, and risk clearly to engineers, operators, executives, and nontechnical stakeholders.
Demonstrated ability to work through ambiguous requirements, prioritize effectively, and deliver iterative value in a fast-moving environment.
Ability to work onsite with Customer for discovery, deployment, testing, and operational milestones.
Authorization to work in the stated location and ability to satisfy customer-specific access requirements. Preferred qualifications
8+ years of relevant experience, including ownership of complex production deployments or strategic customer programs.
Direct experience with Spectro Cloud Palette / PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.
Current CKA, CKS, CKAD, relevant cloud, networking, security, or NVIDIA certification.
Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.
Deep experience with tenant isolation across bare metal, virtual machines, Kubernetes control planes, GPU resources, storage, and high-performance networks.
Hands-on experience with NVIDIA GPU Operator, Network Operator, DCGM, MIG, vGPU, NIM, Triton, TensorRT-LLM, vLLM, NCCL, or NVIDIA AI Enterprise.
Experience with GPU schedulers and AI platform technologies such as Run:ai, Slurm, Volcano, KAI, Ray, Kubeflow, ClearML, or comparable systems.
Experience with distributed training or high-throughput inference on H100, H200, B200, GB200, GB300, or other modern accelerator platforms.
Hands-on design or operational experience with NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, and DOCA OR other high-speed, lowlatency networking technologies.
Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, InfiniBand, InfiniBand partitions, and topology-aware scheduling.
Experience building or operating SONiC or Cumulus Linux leaf-spine fabrics, including FRR, BGP, EVPN/VXLAN, VRF, zero-touch provisioning, automated validation, upgrades, and telemetry.
Experience integrating BlueField in DPU or restricted modes for network, security, storage, isolation, or telemetry offload; familiarity with DPU provisioning, BMC, Redfish, attestation, and lifecycle management.
Experience with high-performance storage and AI data platforms, including object storage, NVMe-oF, parallel file systems, data lakes, streaming, feature stores, vector databases, model registries, or metadata and lineage systems.
Experience in disconnected, air-gapped, sovereign, regulated, safety-sensitive, or classified environments.
A record of contributing reusable software, open-source projects, reference architectures, technical publications, or customer enablement materials. 2026-257

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