Remote jobs in the United States

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Added 3 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for…
Added 3 hours ago
Senior Data Engineer
Steampunk
Remote, United States
We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just…
Added 3 hours ago
Senior Data Engineer - Databricks
Steampunk
Remote, United States
We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in Databricks. We are looking for…
Added 18 hours ago
Software Engineer (.NET/Python)
CVS Health
Remote, United States
As a Software Engineer on the MinuteClinic Product Engineering team, you will build and maintain the services that support patient scheduling, kiosk, clinical workflows, and provider…
Added 19 hours ago
Principal Full Stack Software Engineer (P60) - Growth
Atlassian
Remote, United States
As a Principal Full Stack Software Engineer (P60) on Starburst, you will serve as the lead technical anchor for multi-quarter onboarding and cross-flow initiatives across Atlassian's…
Added 19 hours ago
Senior Machine Learning Engineer
Atlassian
Remote, United States
Data Handling: Perform data preprocessing and feature engineering to improve product inputs and performance.
Added 1 day ago
Senior Frontend Engineer (LATAM)
Lateral Group
Remote, United States
Develop from scratch an application: Collaborate with a senior backend engineer/architect to build a modern application. You’ll be involved in everything from crafting components to API…
Added 1 day ago
Frontend Engineer (Benelux)
Lateral Group
Remote, United States
Develop from scratch an application: Collaborate with a senior backend engineer/architect to build a modern application. You’ll be involved in everything from crafting components to API…
Added 1 day ago
Senior Frontend Engineer (Benelux)
Lateral Group
Remote, United States
As a Senior Frontend Engineer at Lateral, you will:
Added 1 day ago
Senior .NET Engineer (Benelux)
Lateral Group
Remote, United States
As a Senior .NET Engineer at Lateral, you will:
Added 1 day ago
Senior .NET Engineer (LATAM)
Lateral Group
Remote, United States
As a Senior .NET Developer at Lateral, you will:
Added 1 day ago
Senior Data Architect
Jobgether
Remote, United States
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Architect based in the United States.
Added 1 day ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
…all applications and next steps. Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United…
Added 1 day ago
RC
Senior Ai/ML Engineer
Redhorse Corporation
Remote, United States
- $180,000 to $200,000 USD / year
…seeking an Artificial Intelligence (AI)/Machine Learning (ML) Engineer to support Condition-Based Maintenance Plus (CBM+) initiatives that improve aircraft sustainment and optimize…
Added 1 day ago
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Senior Software Engineer (Ruby on Rails)
CompanyCam
Remote, United States
- $175,000 to $200,000 USD / year
We’re looking for a sharp, driven, problem-solving Senior Software Engineer (Ruby on Rails) to join our engineering team.
Added 1 day ago
Machine Learning Engineer, Perception
Path Robotics
Remote, United States
…artificial intelligence. We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within the team. You'll use your skills in problem solving, computer vision, deep…
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 Analytics Engineer
Virta Health
Remote, United States
We’re looking for a Senior Analytics Engineer to build the trusted data models and analytics capabilities that help Virta operate and improve care at scale. This is a hands-on technical…
Added 1 day ago
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Senior Backend Engineer, Licensing
Horizon3
Remote, United States
- $199,000 to $235,000 USD / year
As a Senior Backend Engineer on the Licensing, Usage & Entitlements team, you’ll build the services that determine what NodeZero customers have purchased, which capabilities are enabled for…
Added 2 days 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 2 days ago
Forward-Deployed Engineer
Bask Health
Remote, United States
As a Senior Forward-Deployed Engineer at Bask, you will work directly with the CEO and CTO to build and design the software infrastructure that will serve as the backbone of Telehealth.…
Added 2 days ago
Sr/Staff Frontend Engineer | Web Products
Machinify
Remote, United States
We’re seeking a Senior or Staff Frontend Engineer to join our web application engineering team!
Added 2 days ago
Senior Software Engineer (Node)
Evry Health
Remote, United States
The Senior Node Software Engineer is a technically senior, backend-focused individual contributor leading the Node sub-team's technical direction, architecture decisions, and code quality…
Added 2 days ago
Senior Data Architect
Datavail Corporation
Remote, United States
Datavail is hiring a Senior Data Architect to lead the design and delivery of modern data platforms for our clients
Added 2 days ago
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Engineering Manager, Admin Experience
Horizon3
Remote, United States
- $225,000 to $265,000 USD / year
- Balance feature delivery with production support, on-call responsibilities, and investment in platform reliability and maintainability.

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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