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Added 7 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Juneau, AK
- $100 to $120 USD / hour
…graph, and AI knowledge platform. You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons…
Added 11 mins ago
K
Kiewit Scholars - Summer 2027 Internship
Kiewit
Santa Teresa, NM
- $17 to $25 USD / hour
Our Design Engineer Interns are a part of our teams that supports all aspects of the construction process by performing innovative design engineering through brainstorming conceptual…
Added 11 mins ago
Field/Office Engineer - Kiewit Water Facilities South 2027
Kiewit
Santa Teresa, NM
…Kiewit family for a career. This is not just a job, single project, or…
Added 11 mins ago
General Engineer/ Physical Scientist
National Nuclear Security Administration
Los Alamos, NM
Added 11 mins ago
Engineer I-III (SCADA Engineer)
TXNM Energy
Albuquerque, NM
…reliability. DOC Engineers work closely with Distribution Operations, field personnel, technology teams, and system vendors to configure, test, troubleshoot, maintain, and improve these…
Added 11 mins ago
Engineering Manager
TXNM Energy
Albuquerque, NM
…transmission, distribution, and related projectManages capital project development and long-range planning for transmission and distribution assetsAdministers contracts for projects,…
Added 11 mins ago
Engineer I-III (OMS Analyst)
TXNM Energy
Albuquerque, NM
…related ADMS capabilities, including switching management, field crew coordination, storm response, and wildfire-related operational functions. The engineer will analyze outage records,…
Added 11 mins ago
Senior/Principal Inertial Sensors Department Electronics Engineer, Onsite
Sandia National Laboratories
Albuquerque, NM
Graduate degree in Electrical Engineering, Computer Engineering, or a highly related field where an independent research project was a graduation requirement (e.g., independent project,…
Added 11 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Santa Fe, NM
- $100 to $120 USD / hour
…graph, and AI knowledge platform. You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons…
Added 32 mins ago
Engineer I/II
City of Santa Maria
Santa Maria, CA
The City of Santa Maria is recruiting one Engineer I/II in the Water Resources Division of the Utilities Department. Spring 2026 college graduates who will earn a Bachelor’s Degree in Civil…
Added 39 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Montpelier, VT
- $100 to $120 USD / hour
…graph, and AI knowledge platform. You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons…
Added 42 mins ago
G
Mechanical Engineer Intern - Life Sciences
GBA
Broomfield, CO
- $24 to $26 USD / hour
Life Sciences offers the opportunity to work within an integrated team of architects, engineers, commissioning specialists, project managers, and construction managers.
Added 42 mins ago
IL
Principal Engineer, SCADA Engineering (BESS)
Invenergy LLC
Denver, CO
- $155,000 to $182,500 USD / year
The Principal Engineer position will be part of the Construction team, with responsibility to serve as a senior technical leader responsible for engineering, procurement support,…
Added 51 mins ago
Senior Advanced Manufacturing Engineer – Test
Haier US Appliance Solutions, Inc.
Louisville, KY
Join our Advanced Manufacturing Engineering (AME) Industry 4.0 team as a Senior Advanced Manufacturing Engineer – Test, where you will support the design, implementation, and improvement of…
Added 1 hour ago
Senior Data Scientist
Fractal Analytics Inc
NY
Identify and engineer relevant features from text data to improve model performance.
Added 1 hour ago
Senior Business Intelligence Professional
CenterWell
Dover, DE
The Senior Business Intelligence Engineer describes the tools, technologies, applications and practices used to collect, integrate, analyze, and present an organization's raw data in order…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Dover, DE
- $100 to $120 USD / hour
…graph, and AI knowledge platform. You will connect historical project and operational data across estimating, scheduling, project controls, field execution, equipment, cost, and lessons…
Added 2 hours ago
Senior Software Developer - Top SECRET - Fully ONSITE
VISUAL SOFT, INC
Huntsville, AL
Visual Soft, Inc is seeking qualified candidates (US Citizens with active TOP SECRET clearance - a requirement on its Project with a Major Prime) for the following position for a federal…
Added 3 hours ago
Energy Engineering Co-op
CFO Trane U.S. Inc.-CFO
Grand Rapids, MI
Trane has an exciting opportunity to join our organization as an Energy Engineer COOP. In this position, you will work with your assigned mentor to accomplish established objectives and…
Added 3 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 4 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 4 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 4 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 4 hours ago
Space Avionics Test Engineer II
Varda Space Industries
El Segundo, CA
As a Space Avionics Test Engineer II, you'll play a key role in the design and operation of critical systems that simulate and stress-test flight hardware to prove it is ready for its trip…
Added 4 hours ago
Senior Space Systems Engineer, Avionics
Varda Space Industries
El Segundo, CA
The Senior Space Systems Engineer, Avionics oversees the design, integration, and testing of avionics systems for our Winnebago Spaceship. They ensure that all systems are ready for both…

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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