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Added 6 mins ago
Sr. Mechanical Engineer - Medical Device Solutions
Battelle Memorial Institute
Remote, United States
You will be a core team member in the design and development of medical and commercial products and systems. This role contributes to all phases of product design including initial…
Added 6 mins ago
Senior Civil Engineer
SLR Consulting
Agawam, MA
What if your next engineering project could improve communities, protect the environment, and accelerate your leadership career all at the same time? At SLR Consulting, thats exactly what…
Added 6 mins ago
J. C. Higgins Corp. Project Engineer Internship
EMCOR Group
Stoughton, MA
JC Higgins is seeking a motivated college student to join our team as a Mechanical Project Engineer / Project Management Intern. This internship provides a hands-on opportunity to gain…
Added 6 mins ago
Assistant Town Engineer, DPW
Town of Barnstable
Hyannis, MA
Assistant Town Engineer, DPW Administration & Technical Support: Provides professional, administrative, technical, and supervisory work in planning, managing, developing and coordinating…
Added 6 mins ago
AE
Sr Firmware Engineer
Advanced Energy
Wilmington, MA
- $120,000 to $150,000 USD / year
As a Firmware Engineer, you'll play a key role in developing the intelligent technologies that power innovative electronic products. You'll design, develop, and enhance embedded software,…
Added 6 mins ago
Test and Validation Engineer - 3rd Shift
Butler America
Andover, MA
…Operations, Manufacturing Engineering, Quality, Maintenance, Design/Engineering, Test Equipment Engineering, and Program Offices to ensure test readiness and resolutions to test issues and…
Added 6 mins ago
C
Building Automation System Engineer
CBRE
Cambridge, MA
- $125,000 to $140,000 USD / year
As a CBRE Building Automation System Engineer, you will provide program oversight in the operation and maintenance of all building automation systems to maximize efficiency and minimize…
Added 7 mins ago
ConvergeProsperity - Lead Product Forward Deployed Engineer for FSI Signals - Products & Platforms
Deloitte
Boston, MA
Are you energized by both winning the deal and delivering on it? As a Product Forward Deployed Engineer (pFDE), you'll be the GTM & Delivery engine for Signals, a priority product in the…
Added 7 mins ago
Software Engineer III - Full-stack Developer with Anthropic Experience
Deloitte
Boston, MA
Software Engineer III with Agentic AI Experience, AI & Engineering/Engineering as a Service
Added 7 mins ago
Signals for FSI - Product Forward Deployed Engineer - Innovation_Delivery_Transformation
Deloitte
Boston, MA
Are you energized by both winning the deal and delivering on it? As a Product Forward Deployed Engineer (pFDE), you'll be the GTM & Delivery engine for Signals, a priority product in the…
Added 7 mins ago
Principal Software Engineer
Highmark Health
Boston, MA
We are seeking a visionary Principal Software Engineer responsible for building scalable public-facing software applications across Digital Member Experience channels. As a key player…
Added 7 mins ago
Management Consultant - Data Engineer
IBM
Boston, MA
As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This…
Added 7 mins ago
Senior Technical IT Storage Engineer
Highmark Health
Boston, MA
This job is an integral member of one of our teams responsible for supporting the design, development, and maintenance of our technical IT Storage solutions, ensuring their efficient and…
Added 7 mins ago
Process Engineer - CNC Programmer
Standex International
North Billerica, MA
Reporting to the Engineering Manager, the Process Engineer - CNC Programmer is responsible for developing and documenting CNC and manual machining processes. Duties include hands on…
Added 1 hour ago
Healthcare Engineer
Veterans Affairs, Veterans Health Administration
Grand Island, NE
Added 1 hour ago
CE
Roadway Design Engineer
Consor Engineers, LLC
Denver, CO
- $105,000 to $150,000 USD / year
Consor North America, Inc. (Consor) is seeking a talented and motivated Roadway Engineer to support the planning, design, and delivery of transportation infrastructure projects throughout…
Added 1 hour ago
VDC (BIM) Engineer
PCL Construction
Honolulu, HI
As an VDC (BIM) Engineer for Nordic PCL Construction, Inc. in Honolulu, Hawaii, you’ll have the opportunity to coordinate digital construction tools, project data, and field operations to…
Added 1 hour ago
A
Sr. Project Manager (A/E Services/Relocate To Guam)
Actalent
Honolulu, HI
- $140,000 to $170,000 USD / year
Professional Engineer (PE), Registered Architect (RA), or Project Management Professional (PMP) certification.
Added 3 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 3 hours ago
AM
2027 Spring Process Engineer Co-op (Billerica, MA)
Applied Materials, Inc
Billerica, MA
- $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 4 hours ago
Alternative Project Engineer
State of Montana
Helena, MT
Added 4 hours ago
L
Geotechnical Risk Manager
lhh
Tempe, AZ
- $150,000 to $180,000 USD / year
Identify and quantify geotechnical risks that could affect project cost, schedule, safety, constructability, or productivity.
Added 4 hours ago
Construction Engineer VII
Fluor
Hawesville, KY
Establish and maintain effective communication between the company and the design engineer to ensure the timely flow of design documents and information
Added 4 hours ago
Construction Engineer VII
Fluor
Hawesville, KY
Establish and maintain effective communication between the company and the design engineer to ensure the timely flow of design documents and information
Added 4 hours ago
Manufacturing Engineering Co-op (Summer/Fall 2027)
Collins Aerospace
Louisville, KY
We are seeking a Manufacturing Engineer Co-op to join our team! The Manufacturing Engineer Co-op will support the Maintenance, Repair, and Overhaul (MRO) business by driving process and…

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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