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Added 2 mins ago
TT
Founding AI Engineer
True Talent Solutions Partners
New York, NY
- $200,000 to $250,000 USD / year
- At least one year of experience with real-time or voice AI systems, such as WebRTC, LiveKit, or streaming applications.
Added 7 mins ago
Water Resources Manager
Town of Colchester
Colchester, VT
Added 16 mins ago
Systems Engineer
BAE Systems
Hudson, NH
…support technologies on next-generation military/commercial applications. You will also perform, delivering technical value, in the role of a Systems Engineer, for programs ranging from…
Added 27 mins ago
Solid Waste Lead
SCS Engineers
West Valley City, UT
…prepare engineering calculations, drawings, reports, and permit applications and serve as the Engineer of Record on projects for public and private clients primarily in Utah and the…
Added 28 mins ago
Project Engineer
SCS Engineers
West Des Moines, IA
Office based tasks including: CAD drafting, mathematical calculations, report writing, creating site plans and facility diagrams, permit applications, etc.
Added 50 mins ago
EHS Engineer I
Axcelis Technologies, Inc.
Beverly, MA
…we are currently hiring an Environmental, Health and Safety Engineer. This role will contribute to the effective management of the environmental, health and safety program at Axcelis’…
Added 56 mins ago
Process Quality Engineer
GE Vernova
Houston, TX
…analysis for non-conformances, root-cause analysis (RCA), and the site’s Corrective and Preventive Action (CAPA)…
Added 56 mins ago
C
Software Engineer Compiler II (Full Time) – United States
Cisco
Austin, TX
- Full-time
Applications are accepted until further notice.
Added 56 mins ago
Traveling Construction Manager II/III (Industrial Projects)
Dennis Group
Birmingham, AL
Construction Managers are Dennis Group’s project site supervisors that oversee the daily operations of the construction activities including coordination of sub-contractors, site safety…
Added 1 hour ago
TT
Lead Product Engineer
True Talent Solutions Partners
New York, NY
- $225,000 to $275,000 USD / year
…real estate investment business. As the first product-focused engineer, you will own the frontend and work closely with internal users to turn complex workflows and data into useful…
Added 1 hour ago
TT
Founding Full-Stack Engineer
True Talent Solutions Partners
San Francisco, CA
- $180,000 to $240,000 USD / year
…core, from connected devices and cloud services to companion…
Added 1 hour ago
Senior HPC AI Engineer
NVIDIA Corporation
North District, IL
Manage, scale, and optimize job scheduling systems (LSF, Slurm, etc.) in a large-scale, multi-site environment supporting EDA and other compute-intensive workloads
Added 1 hour ago
Software Test Engineer
Deloitte US
San Jose, CA
The professional will run on-site functional and regression testing in a lab to validate vendor-developed web application releases on specific hardware. Test Engineer will also certify each…
Added 1 hour ago
Application Support Manager (SRE)
Deloitte US
Dallas, TX
…work in a collaborative environment? As an Application Support Engineer, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical…
Added 1 hour ago
Construction Manager II (Traveling, Industrial Construction)
Dennis Group
Indianapolis, IN
Construction Managers are Dennis Group’s project site supervisors that oversee the daily operations of the construction activities including coordination of sub-contractors, site safety…
Added 1 hour ago
Physical and Spatial AI Engineer III
Deloitte US
Atlanta, GA · Austin, TX · Baltimore, MD · Bellevue, WA · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Colorado Springs, CO · Costa Mesa, CA · Dallas, TX · Dayton, OH · Denver, CO · Detroit, MI · Fort Worth, TX · Grand Rapids, MI · Houston, TX · Indianapolis, IN · Jacksonville, FL · Jersey City, NJ · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Morristown, NJ · NY · Philadelphia, PA · Pittsburgh, PA · Rosslyn, VA · Salt Lake City, UT · San Antonio, TX · San Diego, CA · San Francisco, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Tampa, FL · Tempe, AZ · Westlake, TX
Physical & Spatial AI, OT Connectivity Engineer III
Added 1 hour ago
Senior Network Engineer (Route & Switch)
Deloitte US
Dallas, TX · Westlake, TX
…technology solutions. Work with senior level engineers to implement applications and technology solutions. Monitor daily data and application server backups, upgrades, and patches. Responds…
Added 1 hour ago
Senior Civil or Environmental Engineering Project Manager
SCS Engineers
Green Bay, WI
Overseeing/coordinating/reviewing office-based tasks, including CAD drafting, mathematical calculations, reports, creating site plans and facility diagrams, permit applications, etc.
Added 1 hour ago
Senior Civil or Environmental Engineer
SCS Engineers
Greenwood Village, CO
SCS Engineers is looking for a Senior Project Engineer and/or Project Manager to perform solid waste projects. You can be hybrid in our Denver, Colorado office. We are looking for a team…
Added 2 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 AI Engineer, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As an AI Engineer Intern in Enterprise Technology Services, you’ll join a 10-week…
Added 2 hours ago
AE
Campus Graduate Masters Summer Internship Program - 2027 Software Engineer, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $24.05 to $63 USD / hour
At American Express, we empower future technologists to learn, innovate, and make an impact from day one. As a Software Engineer Intern, you’ll join a 10-week Summer Internship Program and…
Added 2 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 Software Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 2 hours ago
AE
Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…
Added 2 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 Software Engineer II, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $89,250 to $150,250 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As a Software Engineer in the full-time Technology Graduate Program, you’ll join a…
Added 2 hours ago
AE
Campus Graduate Masters Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunrise, FL
American Express
Sunrise, FL
- $78,000 to $124,750 USD / year
- Full-time
At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you’ll join a full-time graduate…

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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