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Added 1 hour ago
Senior Network Engineer - Deployments
NVIDIA Corporation
North District, IL
NVIDIA’s Network Deployment team is looking for a Senior Network Engineer to join our dynamic, results-driven organization. In this role, you will take ownership of complex network…
Added 1 hour ago
Senior Solution Engineer, Switch Networking
NVIDIA Corporation
North District, IL
Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).
Added 1 hour ago
Senior Network Engineer, System Verification
NVIDIA Corporation
North District, IL
NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on…
Added 10 hours ago
Senior Systems Engineer
DigaCore Technology Consulting
Remote, United States
Are you the go-to engineer who handles the toughest issues and loves designing smarter infrastructure? We’re looking for a senior-level engineer with a builder’s mindset - someone ready to…
Added 21 hours ago
Senior Network Engineer
Domino's
Ann Arbor, MI
The Senior Network Engineer is a hybrid engineering and operations leader responsible for designing, implementing, securing, and supporting enterprise network services across on-premises…
Added 22 hours ago
Associate Director, Cloud Network Engineer
S&P Global
Princeton, NJ
Own the enterprise GCP network architecture - design, deploy and manage GCP network services including VPCs/Shared VPC, Cloud Interconnect, Cloud Router, Cloud NAT, Cloud DNS, Cloud Load…
Added 1 day ago
Principal Network Operations Engineer / IT Operations Specialist (US)
TD Bank
Mount Laurel, NJ
As a Principal Network Operations Engineer , you will play a critical role within the Technology Response (L2) team, responsible for rapid incident resolution and root cause analysis across…
Added 1 day ago
Senior Network Operations Engineer – Tier 3
CACI International
Washington, DC
As a Tier 3 Network Operations Technician, you will serve as a senior technical resource responsible for supporting and maintaining enterprise network infrastructure. You will troubleshoot…
Added 1 day ago
T
Principal Network Engineer
TEKsystems
San Francisco, CA
- $70 to $80 USD / hour
Typically, 6 + years experience in data center routing, switching, and network architecture, with hands-on experience using HPE Juniper products such as the QFX, PTX, MX, and EX series.
Added 1 day ago
T
Principal Network Engineer
TEKsystems
San Diego, CA
- $70 to $80 USD / hour
Typically, 6 + years experience in data center routing, switching, and network architecture, with hands-on experience using HPE Juniper products such as the QFX, PTX, MX, and EX series.
Added 1 day ago
T
Principal Network Engineer
TEKsystems
Los Angeles, CA
- $70 to $80 USD / hour
Typically, 6 + years experience in data center routing, switching, and network architecture, with hands-on experience using HPE Juniper products such as the QFX, PTX, MX, and EX series.
Added 1 day ago
Senior ASIC Engineer - Post Silicon Validation
Cisco Systems, Inc.
San Jose, CA
The Silicon One team creates innovative hardware platforms central to the AI era, powering Cisco’s core Switching, Routing, and Wireless products for organizations globally. Our innovations…
Added 1 day ago
Internal CC Senior Network Security Engineer
Hays
MA
Our client is seeking Internal CC Senior Network Security Engineer in for a remote opportunity.
Added 1 day ago
Network Engineer - Skillbridge
Viasat, Inc.
Remote - Florida, FL
5+ years of experience administering virtualized environments (VMs), managing multi-tenant storage systems, integrated network routing/switching, and enterprise firewall policies
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
FM
Sr Principal Network Engineer
Fresenius Medical Care
Waltham, MA
- $131,900 to $219,800 USD / year
The Lead Networking Engineer utilizes in-depth knowledge of local area networks (LAN) and wide area networks (WAN) to provide expert input regarding the installation and support of the…
Added 1 day ago
Senior Networking Engineer
The Aerospace Corporation
El Segundo, CA
Oversee development and implementation of advanced network protocols, routing algorithms, and Quality of Service (QoS) architectures
Added 1 day ago
Senior Infrastructure Engineer - Network
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI
The contributions you will make: This positions is a senior engineer accountable for the design, reliability, modernization, and continuous improvement of complex enterprise network and…
Added 1 day ago
Principal Infrastructure Engineer- Unified Communications
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI · Prairie du Sac, WI
Expert-level experience with routing, switching, wireless, WAN, cloud connectivity, network services, telephony, unified communications, carrier services, automation, observability,…
Added 1 day ago
Principal Infrastructure Engineer- Network
Compeer Financial
Bloomington, IL · Lakeville, MN · Mankato, MN · Sun Prairie, WI
Expert-level experience with routing, switching, wireless, WAN, cloud connectivity, network services, telephony, unified communications, carrier services, automation, observability,…
Added 2 days ago
Senior Network Engineer
Pearce Services
Dallas, TX
Pearce is seeking talented and motivated candidates for the Senior Network Engineer role, responsible for the design, implementation, administration, maintenance, and optimization of…
Added 2 days ago
MC
Network Engineer / Telecom Specialist – Contract (Raleigh, NC)
Mfinite Consulting
Raleigh · Raleigh, NC
- $38 to $47 USD / hour
1–3+ years of network or telecom engineering experience (Mid-Level 3–5 years, Senior 5–7, Expert 7+)
Added 2 days ago
TP
IPv6 Network Engineer
TAD PGS, Inc.
Herndon, VA
- $65 USD / hour
We are seeking a highly skilled Senior Network Engineer with deep expertise in IPv6 technologies to join our team. This role is critical to driving our projects IPv6 Assessment, Design, and…
Added 2 days ago
Senior QC Network Engineer
The Timberline Group
Edwardsville, IL
Eight or more years of progressive network engineering experience with senior engineer or architect level exposure
Added 2 days ago
Senior Network Engineer (SRNETWOR) (Copy)
Denali Advanced Integration
United States
The Senior Network Engineer is responsible for the engineering, architecture, support, routing, switching, documentation, troubleshooting, transport topologies, network hardware, security,…

Jobgether

Senior Forward Deployed Solution Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Forward Deployed Solution Engineer based in the United States.

The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical solutions. This hands-on engineering role combines software development, Kubernetes infrastructure, cloud and bare-metal systems, networking, and AI infrastructure. You will work directly with customer engineering teams, operators, and executives to design architectures, build automation, troubleshoot systems, and guide deployments from initial discovery through operational handoff. The scope spans cloud-native platforms, edge environments, GPU infrastructure, high-performance networking, and AI data and model workflows. You will collaborate with other forward-deployed engineering resources and internal Product and Engineering teams to turn deployment experience into reusable capabilities and standardized practices. This is an opportunity for an experienced technical leader who enjoys solving ambiguous problems and delivering solutions that customers can operate and scale independently.

Accountabilities

You will serve as a senior technical lead throughout complex customer engagements, taking responsibility for translating requirements into deployable architectures and ensuring that solutions deliver lasting operational and business value.

• Lead technical discovery with customers, translating business objectives, operational constraints, and mission requirements into practical technical architectures and deployment plans.

• Design, deploy, upgrade, and troubleshoot production Kubernetes clusters and cloud-native applications across public cloud, bare-metal, datacenter, and edge environments.

• Build automation, integrations, infrastructure tooling, and maintainable software to support repeatable deployments and reliable operations.

• Guide customer implementations from initial working capabilities through production readiness, scaled adoption, and operational handoff.

• Work across Kubernetes platforms, cloud infrastructure, Linux systems, GPU-enabled environments, data pipelines, and high-performance networking technologies.

• Design and support infrastructure for AI workloads, including GPU provisioning, drivers, container runtimes, Kubernetes scheduling, telemetry, and workload frameworks.

• Support the implementation and operation of AI data and model workflows, from data ingestion and preparation through deployment, inference, monitoring, and feedback.

• Troubleshoot complex distributed systems and networking issues, including routing, switching, DNS, load balancing, overlays, latency, bandwidth, congestion, and packet-level problems.

• Apply infrastructure-as-code, configuration automation, CI/CD, and GitOps practices to improve deployment consistency and operational efficiency.

• Address Kubernetes security and multi-tenancy requirements, including access controls, network policies, admission controls, resource quotas, secrets management, and tenant isolation.

• Collaborate with customer engineers, operators, technical leaders, and executives, clearly communicating architectural decisions, tradeoffs, delivery status, and emerging risks.

• Work closely with other forward-deployed engineering resources and deployment strategy stakeholders to coordinate technical execution and customer outcomes.

• Identify delivery risks early, communicate changes directly, and prioritize work to maintain progress in complex or evolving environments.

• Document architectures, configurations, operational procedures, and lessons learned to support customer independence and future deployments.

• Share implementation feedback with Product and Engineering teams, helping improve platform capabilities, automation, reference architectures, and deployment practices.

• Travel onsite to customer locations when needed for discovery, deployment, testing, and key operational milestones.

Requirements

The ideal candidate combines strong Kubernetes and infrastructure engineering expertise with software development skills and sound customer-facing judgment. You should be comfortable moving between code, architecture, infrastructure, networking, and stakeholder discussions while maintaining a clear focus on customer outcomes.

• Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.

• At least 6 years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customer-facing 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, with the ability to develop maintainable, tested, production-quality code.

• Hands-on experience with infrastructure as code and configuration automation tools such as Terraform, Ansible, Cluster API, Helm, and Kustomize, or equivalent technologies.

• Experience implementing CI/CD or GitOps workflows using tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.

• Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policies, admission controls, quotas, secrets, pod security, and tenant isolation.

• Experience with at least one major public cloud provider and at least one datacenter deployment model, such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.

• Working knowledge of GPU-enabled infrastructure, including firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.

• Understanding of the AI data and model lifecycle, from data ingestion through model deployment, inference, monitoring, and feedback.

• Strong 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.

• Excellent communication skills, with the ability to explain architecture, technical tradeoffs, project status, and risks to engineers, operators, executives, and nontechnical stakeholders.

• Demonstrated ability to navigate ambiguous requirements, prioritize effectively, and deliver incremental value in a fast-moving environment.

• Willingness and ability to work onsite with customers for discovery, deployment, testing, and operational milestones.

• Authorization to work in the United States and ability to meet customer-specific access requirements.

The following qualifications are considered strong advantages:

• 8 or more years of relevant experience, including ownership of complex production deployments or strategic customer programs.

• Direct experience with Palette, PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.

• Current CKA, CKS, CKAD, or relevant cloud, networking, security, or NVIDIA certifications.

• Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.

• Deep expertise in tenant isolation across bare-metal infrastructure, 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, Slurm, Volcano, KAI, Ray, Kubeflow, or ClearML.

• Experience with distributed training or high-throughput inference using H100, H200, B200, GB200, GB300, or other modern accelerator platforms.

• Hands-on experience designing or operating NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, DOCA, or comparable high-speed, low-latency networking technologies.

• Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, 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, as well as 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, and metadata or lineage systems.

• Experience working 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.

Benefits

• Fully remote position within the United States.

• Opportunity to work on advanced technologies spanning Kubernetes, cloud infrastructure, GPU systems, AI platforms, and high-performance networking.

• Direct involvement in complex, high-impact customer deployments and strategic technical initiatives.

• Broad technical ownership and the opportunity to influence customer architectures and operational outcomes.

• Close collaboration with experienced Field Engineering, Product, and Engineering teams.

• Opportunity to contribute to reusable software, automation, reference architectures, and improvements to future customer deployments.

• A collaborative, diverse, and fast-paced work environment that encourages innovation, professional growth, and meaningful technical contributions.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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