Remote jobs in the United States

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Added 11 hours ago
Senior Principal Forward Deployed Engineer
Atlassian
Remote, United States
As a Senior Principal Forward Deployed Engineer, you will:
Added 16 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 18 hours ago
Forward Deployed Engineer
Clera
Remote, United States
- Lead customer discovery to understand data architectures, operating constraints, and deployment requirements.
Added 18 hours ago
Founding Forward Deployed Engineer
Clera
Remote, United States
Join an early-stage AI company serving the consumer packaged goods sector as a Founding Forward Deployed Engineer. You will connect the platform with customers' operations teams, owning…
Added 23 hours ago
.NET Engineer (Benelux)
Lateral Group
Remote, United States
Take ownership of features end-to-end, from initial concept through deployment. You’ll often drive substantial product features as the key developer alongside an architect or product…
Added 23 hours ago
Senior Frontend Engineer (LATAM)
Lateral Group
Remote, United States
…decisions, outlining implementation plans, and seeing them through deployment. You’ll have the freedom to introduce new ideas and best practices that raise the bar for our front-end,…
Added 23 hours ago
Senior Frontend Engineer (Benelux)
Lateral Group
Remote, United States
As a Senior Frontend Engineer at Lateral, you will:
Added 23 hours ago
Senior .NET Engineer (Benelux)
Lateral Group
Remote, United States
As a Senior .NET Engineer at Lateral, you will:
Added 23 hours ago
Senior Snowflake Engineer (LATAM)
Lateral Group
Remote, United States
Implement and improve CI/CD processes for data development, including version control, automated testing, and safe deployment patterns.
Added 23 hours ago
Senior .NET Engineer (LATAM)
Lateral Group
Remote, United States
Take ownership of features end-to-end, from initial concept through deployment. You’ll often drive substantial product features as the key developer alongside an architect or product…
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
…technical strategy from initial concept through production deployment, translating complex identity and access challenges into resilient, enterprise-grade software that protects and powers…
Added 1 day ago
Machine Learning Engineering Technical Leader
Cisco Systems, Inc.
Remote, United States
We’re looking for a Senior AI/ML Engineer to help build the Internet of Cognition, not simply execute someone else’s roadmap. You’ll transform concepts like shared context, shared intent,…
Added 1 day ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
…commercial healthcare technology products in a collaborative, forward-deployed engineering…
Added 1 day ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical…
Added 1 day ago
Forward Deployed Software Engineer
Jobgether
Remote, United States
…all applications and next steps. Our partner is looking for a Forward Deployed Software Engineer based in the United…
Added 1 day ago
Senior Software Engineer, Cloud Platform
NVIDIA USA
Remote, United States
…provisioning to build a multi-tenant infrastructure. As a software engineer, you will work with other software engineers, product architects, and product managers as a collaborative team to…
Added 1 day ago
Staff/Principal Engineer
Phreesia, Inc.
Remote, United States
…engineering team. We’re looking for a Staff/Principal Software Engineer to help define and build the technology needed to scale, integrate with Phreesia, simplify customer onboarding, and…
Added 1 day ago
K
Remote Palantir AIP Workflow Engineer
Kforce
Remote, United States
- $140,000 to $170,000 USD / year
Experience as a Palantir Deployment Strategist, Forward Deployed Engineer, AIP Developer, Foundry Consultant, Solution Architect, Technical Business Analyst, AI Workflow Engineer, or…
Added 1 day ago
Machine Learning Engineer, Perception
Path Robotics
Remote, United States
Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across…
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
Senior IT Systems Engineer
Flexport
Remote, United States
At Flexport, we believe global trade can move the human race forward. That’s why it’s our mission to make global commerce so easy there will be more of it. We’re shaping the future of a…
Added 1 day ago
S
Senior Full Stack Engineer
Solace
Remote, United States
- $150,000 to $200,000 USD / year
As a Full Stack Engineer, you’ll join a spectacularly talented team of fellow engineers - but you will also be expected to independently own your product workflow from initial design…
Added 1 day ago
Senior Machine Learning Engineer, Fulfillment
Instacart
Remote, United States
We are seeking a Senior Machine Learning Engineer to design, build, and deploy production machine learning systems that create measurable business impact. You will work across the full…
Added 1 day ago
P
Senior Full Stack Engineer | $90-$105/hr + Remote | Inc. 5000 Award-Winning, High-Growth Coaching Company
PhillyTech.Co
Remote, United States
- $90 to $105 USD / hour
The Senior Full Stack Engineer will be working on a custom community platform built for personal development, coaching, courses, community forums, and daily engagement. The product is…

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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