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Added 5 mins ago
Senior Technical Project Manager (Product Development)
unybrands
Atlanta, GA
This is an opportunity for an engineer who loves inventing, solving complex problems and creating beautifully engineered products that people genuinely love to use. You'll work across a…
Added 5 mins ago
Senior Technical Project Manager (Product Development)
unybrands
Atlanta, GA
This is an opportunity for an engineer who loves inventing, solving complex problems and creating beautifully engineered products that people genuinely love to use. You'll work across a…
Added 12 mins ago
EG
Knowledge Graph Architect
Eliassen Group
Carson City, NV
- $100 to $120 USD / hour
Our client is seeking a Knowledge Graph Architect to lead the architecture and technical strategy for a construction-focused ontology, knowledge graph, and AI knowledge platform. You will…
Added 12 mins ago
EG
Dev Lead
Eliassen Group
Carson City, NV
- $110 to $120 USD / hour
Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on…
Added 26 mins ago
AM
2027 Summer Process Engineer Intern - BS or MS (Gloucester, MA)
Applied Materials
Gloucester, MA · Gloucester
- $31 to $41 USD / hour
Lead small development projects involving wafer metrology.
Added 26 mins ago
AM
2027 Spring Manufacturing Engineer Co-op (Billerica, MA)
Applied Materials
Billerica, MA · Billerica
- $31 to $41 USD / hour
Applied Materials’ Manufacturing Engineering Department is searching for a Manufacturing Engineer Co-op to join our team. This Co-op will be in a cleanroom environment and will provide you…
Added 26 mins ago
AM
2027 Spring Process Engineer Co-op (Billerica, MA)
Applied Materials
Billerica, MA · Billerica
- $31 to $41 USD / hour
Lead small development projects involving project management, design of experiment, wafer processing, data collection and analysis, documentation, and data presenting
Added 43 mins ago
TT
Founding Backend Software Engineer
True Talent Solutions Partners
San Francisco, CA
- $225,000 to $275,000 USD / year
Join a small engineering team at an early-stage AI video company as its founding backend engineer. You will lead the design of core backend infrastructure for agentic workflows and video…
Added 1 hour ago
Engineering Director
Bridgenext
UNAVAILABLE
At Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that…
Added 1 hour ago
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Senior Forward Deployed Engineer, Operate
True Talent Solutions Partners
New York, NY
- $170,000 to $205,000 USD / year
Join a healthtech AI team deploying production agent systems for healthcare and life sciences organizations. You will lead technical delivery from early client discussions through launch,…
Added 1 hour ago
Senior AI Tools Engineer, SRE Operations - GeForce NOW
NVIDIA USA
Remote, United States
We are seeking a passionate AI Tools Engineer to join the Site Reliability Engineering (SRE) Data Team. Applicants with SRE or equivalent experience are encouraged.
Added 1 hour ago
Mgr. Embedded Software Engineer 3
Northrop Grumman
Baltimore, MD
Northrop Grumman Mission Systems seeks to add an Mgr. Embedded Software Engineer 3 based out of Baltimore, MD. This position is in the E&S Baltimore and Partnered Sites supporting the…
Added 1 hour ago
Pn Software Engineer (Remote)
CareFirst
Baltimore, MD
Lead the strategic direction of the design, development, and implementation of multiple applications. Performs and leads the detail technical design, debugging, coding, code review and…
Added 1 hour ago
FPGA Engineer, Senior
BOOZ, ALLEN & HAMILTON, INC.
Lexington Park, MD
Lead major microelectronics programs in the areas of design, verification, fabrication, packaging, te chn ology node access, integrity, t rus t, and assurance with Field Programmable Gate…
Added 1 hour ago
Mission Security Engineer
BOOZ, ALLEN & HAMILTON, INC.
Lexington Park, MD
…systems for the Department of War ? We're looking for a security engineer who can create solutions for the U.S. Navy that will withstand even the most advanced cyber…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Annapolis, MD
- $110 to $120 USD / hour
Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on…
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Annapolis, MD
- $100 to $120 USD / hour
Our client is seeking a Knowledge Graph Architect to lead the architecture and technical strategy for a construction-focused ontology, knowledge graph, and AI knowledge platform. You will…
Added 1 hour ago
Software Engineer Intern - Arango Cookbooks
Arango
Remote, United States
Compliance Operations & Process Excellence Program Lead
Added 1 hour ago
EG
Knowledge Graph Architect
Eliassen Group
Baton Rouge, LA
- $100 to $120 USD / hour
Our client is seeking a Knowledge Graph Architect to lead the architecture and technical strategy for a construction-focused ontology, knowledge graph, and AI knowledge platform. You will…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Baton Rouge, LA
- $110 to $120 USD / hour
Our client seeks a Dev Lead to own architecture, code quality, and delivery for an Agile squad building AI solutions that enable knowledge discovery and reuse. The role balances hands-on…
Added 1 hour ago
Lead Platform Engineer (Full-Stack)
Young Basile
Troy, MI
Lead Platform Engineer (Full-Stack) (Troy, MI - Hybrid (Remote and In Person))
Added 1 hour ago
Solutions Architect (US only)
Bolder Apps
Remote, United States
Lead technical discovery with clients. Ask the right questions, find the real constraints and turn a rough idea into a clear solution design
Added 1 hour ago
Sales Solutions Engineer - Ed Tech
Coursedog
Remote, United States
As a Solutions Engineer at Coursedog, you’ll lead the demos, scoping, and CX calls that align customers, Sales, and Customer Success before a deal is booked. You’ll work closely with…
Added 1 hour ago
Maximo Infrastructure Architect/Engineer
MaxAccelerate
Remote, United States
…looking for an experienced IBM Maximo Infrastructure Architect to lead complete Maximo Application Suite 9 implementations for clients around the…
Added 2 hours ago
A
Infrastructure & Capital Projects – Construction Mechanical Engineer – Data Centers, ANS
Accenture
Des Moines, IA
- $120,000 to $145,000 USD / year
Ability to effectively lead a diverse team of professionals inside of a dynamic team environment while also being capable of taking initiative when necessary

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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