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Added 2 hours ago
J
Mobile App Packaging Specialist
Jobgether
Remote, United States
- $103,000 to $123,000 USD / year
…with application owners, security specialists, and platform engineering teams to deliver seamless migration experiences. You will also provide technical leadership, mentor team members, and…
Added 3 hours ago
Sr. Manager of IT & Operations
Jobgether
Remote, United States
Lead internal IT support for SOC 2 audits by preparing evidence, maintaining controls, and implementing security policies and compliance standards.
Added 6 hours ago
Service Manager, Preventative Maintenance
Jobgether
Remote, United States
…execution quality, and long-term equipment reliability. You will lead distributed field teams and service partners, ensuring maintenance activities meet technical, safety, quality, and…
Added 7 hours ago
Senior Site Reliability Engineer/Cloud Platform Engineer
Skyflow
Remote, United States
This is a hands-on engineering role, not a ticket-queue ops role. You'll spend most of your time writing Go and Python to turn repeatable infrastructure work into platform capabilities -…
Added 7 hours ago
J
Project Controls Manager (Wind Renewables Construction)
Jobgether
Remote, United States
- $120,000 to $160,000 USD / year
You will lead the implementation, coordination, and continuous improvement of project controls practices across multiple operational groups, ensuring teams have the tools, knowledge, and…
Added 7 hours ago
J
Lead Product Manager, AI Agents
Jobgether
Remote, United States
- $170,000 to $225,000 USD / year
We are seeking a hands-on Lead Product Manager to define and scale AI-powered experiences across a two-sided home services marketplace. As the first dedicated core AI Product Manager, you…
Added 7 hours ago
GTM Systems Engineer
Jobgether
Remote, United States
…with Revenue Operations, Sales, Finance, Marketing, and Data Engineering, you will help shape the systems that support the company's growth. This is an opportunity to take increasing…
Added 11 hours ago
O
Controls Engineer: Power Generation
OpenAI
Remote, United States
- $177,000 to $285,000 USD / year
OpenAI, in close collaboration with our capital and delivery partners, is building the infrastructure required to support frontier AI systems. The Data Center Engineering team defines…
Added 12 hours ago
Banquet Manager
AccorHotel
Remote, United States
At Fairmont Orchid, you're not simply building a career, you're becoming part of a legacy of exceptional hospitality, meaningful connections, and unforgettable experiences. Here, you'll…
Added 12 hours ago
Product Manager, Fund OS
Foundation Source Philanthropic Services
Remote, United States
Engineering & Design: your partners in building high-quality features, fast
Added 14 hours ago
Vice President of Information Technology and Security
SheerID
Remote, United States
Balance Risk & Velocity: Ensure security controls and compliance mandates serve as business enablers (SOC 2, ISO 27001) without creating friction for employee productivity or engineering…
Added 1 day ago
Network Construction Manager - Break Fix, Fiber Restoration & Network Maintenance - GA
Zayo Group LLC
Remote, United States
Manage pre-construction, engineering coordination, permitting, procurement, construction, splicing, testing and turn-up support, documentation, and closeout for OSP fiber projects.
Added 2 days ago
IT
Associate Director, GMP Quality Assurance
Immunic Therapeutics
Remote, United States
- $160,000 to $210,000 USD / year
Reporting to the Head of Quality, you will lead a small, hands-on team that will grow with the program, and partner closely with CMC, Supply Chain, Regulatory Affairs and Clinical…
Added 2 days ago
Lead Kubernetes Architect (AKS and GKE)
Humana Inc.
Remote, United States
The Lead Kubernetes Architect will partner across Cloud Engineering, Security, Network, Platform, SRE, DevOps, and application teams to define Kubernetes reference architectures, establish…
Added 2 days ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
…and next steps. Our partner is looking for a Senior Technical Lead - AI Product Engineering (CMH Health) based in the United…
Added 2 days ago
Senior Forward Deployed Solution Engineer
Jobgether
Remote, United States
The Senior Forward Deployed Solution Engineer will lead complex customer deployments, translating strategic business and mission objectives into reliable, production-ready technical…
Added 2 days ago
BE
Sr Manager Technology - API Platform
Boeing Employees' Credit Union
Remote, United States
- $135,100 to $250,600 USD / year
…for developing and maintaining technology roadmaps, managing engineering and delivery teams, and implementing agile practices. Additionally, this role will identify innovative solutions,…
Added 2 days ago
Project Delivery Director - Fare Payment Modernization
Masabi
Remote, United States
// Masabi is seeking an experienced Project Delivery Director to lead the end-to-end implementation and delivery of a major, multi-year transit technology modernization program in North…
Added 2 days ago
Manager, Commercial Pharmacy Logistics
Centaur Services
Remote, United States
…This role partners across pharmacy operations, supply chain, engineering, technology, vendors, and business stakeholders to support project execution, operational readiness, compliance,…
Added 2 days ago
Director, GTM AI Engineering
Samsara
Remote, United States
As the Director, GTM AI Engineering you’ll run our AI Engineering team for GTM. You’ll work closely with Data Science, Analytics, and Data Engineering to serve Sales, Customer Success,…
Added 2 days ago
Director, Operations
Franchise Location
Remote, United States
…employer from Marriott International, Inc. The franchisee solely controls all aspects of the hotel’s employment policies and practices, including hiring, firing, discipline, staffing,…
Added 2 days ago
Engineering Manager - GRC
Workiva Inc.
Remote, United States
Serve as the engineering voice alongside the Product Manager and UX Lead, shaping domain direction together
Added 2 days ago
S
AI & Innovation Lead, G&A
Sanity
Remote, United States
- $165,000 to $180,000 USD / year
In this role, you’ll join the Finance team as the AI & Innovation Lead, G&A, reporting to the CFO. You’ll sit in Finance with a dotted line to our Director of Systems Engineering. This role…
Added 2 days ago
Sr. Application Security Engineer
Pax8, Inc
Remote, United States
Lead practical threat modeling, helping teams understand where risk lives and turning that insight into actionable engineering decisions.
Added 2 days ago
O
Manufacturing Quality Engineer, Data Center Equipment
OpenAI
Remote, United States
- $165,000 to $290,000 USD / year
OpenAI and its capital and technology partners are building a global network of data centers for demanding AI workloads. The Infrastructure Quality team sets and verifies quality,…

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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