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Added 14 mins ago
OSC Facilities Support Engineer I
Quality Technology Services, LLC
United States
The Operations Service Center Facilities Support Engineer I (FSE) will be primarily responsible for all facilities’ major incident management, monitoring a dashboard for EMPS/BMS alarms,…
Added 17 mins ago
Staff Solutions Engineer - FDSE - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
The application window is expected to close on: 11/19/2026This role can be performed anywhere in the United States.
Added 17 mins ago
Staff Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
The application window is expected to close on: 11/19/2026The application window is expected to close on
Added 19 mins ago
Software Engineer
Cisco Systems, Inc.
Sierra Vista, AZ
The application window is expected to close on: 11/03/20262025407 – Software Engineer (Hybrid)
Added 28 mins ago
Senior Business Intelligence Professional
CenterWell
Dover, DE
The Senior Business Intelligence Engineer solves complex business problems and issues using data from internal and external sources to provide insight to decision-makers. The Senior…
Added 28 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Dover, DE
- $100 to $120 USD / hour
…operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons learned to create a reusable knowledge foundation that can support AI,…
Added 28 mins ago
EG
Dev Lead
Eliassen Group
Dover, DE
- $110 to $120 USD / hour
2+ years as a senior or principal engineer with design, implementation, and operational ownership.
Added 1 hour ago
Cybersecurity Engineer, Journeyman
Astrion
El Segundo, CA
Astrion is seeking an experienced Cybersecurity Engineer to support the Space Sensing Directorate, SSC in the protection, monitoring, and assessment of information systems and networks.…
Added 1 hour ago
Senior Software Developer - Top SECRET - Fully ONSITE
VISUAL SOFT, INC
Huntsville, AL
Education: Bachelor’s Degree (B.S.) in Computer Science, Engineering, or related field
Added 2 hours ago
Software Development Engineer II, Lightsail
Amazon.com Services LLC
Seattle, WA
…complexity of traditional infrastructure. As a Software Development Engineer II on the Lightsail team, you will build features and services that simplify compute, storage, networking, and…
Added 2 hours ago
SSL Production Lab Engineer, Space Simulation Lab
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
We are seeking a Lab Engineer to run day-to-day lab operations and support production and hardware testing. You'll build and maintain test fixtures, manage lab resources and equipment, and…
Added 2 hours ago
SSL Lab Engineer 2nd shift, Space Simulation Lab
Amazon Kuiper Manufacturing Enterprises LLC
Redmond, WA
We are seeking a Lab Engineer to run day-to-day lab operations and support production and hardware testing. You'll build and maintain test fixtures, manage lab resources and equipment, and…
Added 2 hours ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
The application window is expected to close on: 11/03/2026Meet the Team
Added 2 hours ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
The application window is expected to close on: 11/09/2026The application window is expected to close on
Added 2 hours ago
Cloud Engineer
Cisco Systems, Inc.
RTP, NC
The application window is expected to close on: 11/01/2026NOTE: Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Added 2 hours ago
ASIC Failure Analysis Engineer (Onsite)
Cisco Systems, Inc.
San Jose, CA
The application window is expected to close on: 12/03/2026This is an onsite position in San Jose, California, United States.
Added 2 hours ago
Associate Engineer, Analytical AI Engineering
E.R. Squibb & Sons,L.L.C.
Princeton, NJ
The Associate Engineer is a developing individual contributor who delivers reliable, well-scoped engineering work within established patterns. You will help build data pipelines, ML…
Added 3 hours ago
VI
Network and Systems Engineer
Viasat, Inc.
Remote (excluding ND, VT, or RI)
- $183,000 to $274,000 USD / year
…excellent fit. We are seeking a highly skilled and expert network engineer specializing in networking and infrastructure systems in a rapidly growing environment. This team plays a critical…
Added 3 hours ago
VI
Embedded Software Engineer, Viasat Government
Viasat, Inc.
Carlsbad, CA · Tampa, FL · Linthicum Heights, MD · Tempe, AZ
- $174,000 to $261,000 USD / year
This is a role for a Embedded Software Engineer who is eager to contribute to a small, fast-paced team. You will develop software to support encrypted communications systems including Layer…
Added 3 hours ago
Sr. Software Engineer (Node)
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 Sr. Software Engineer (Node) based in the United States.
Added 3 hours ago
Co-Simulation Engineer III
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 Co-Simulation Engineer III based in the United States.
Added 3 hours ago
PN
Software Engineer II
Pacific Northwest National Laboratory
Richland, WA · Seattle, WA
- $109,000 USD / year
…to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to…
Added 3 hours ago
WV
Transportation Engineer 2 - Roadway Design Squad Leader - Kanawha Co.
West Virginia
Charleston, WV
- $47.12 USD / hour
Licensed Professional Engineer (P.E.) in the State of West Virginia (or licensed in another state with the ability to obtain WV P.E. registration by comity within 6 months of hire)
Added 3 hours ago
WV
Transportation Engineer Specialist - Section Manager - Kanawha Co.
West Virginia
Charleston, WV
- $57.69 USD / hour
The Transportation Engineer Specialist - Section Manager will act as the Local Program Services Section Leader for the Planning Division. This position will oversee the following units:…
Added 3 hours ago
WV
Transportation Engineer Specialist - Section Manager - Kanawha County
West Virginia
Charleston, WV
- $57.69 USD / hour
The Transportation Engineer Specialist will act as the Statewide Planning Section Head. This position will oversee the following units: United States Department of Transportation (USDOT)…

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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