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Added 34 mins ago
Senior Cybersecurity Engineer – Network Security, Zero Trust & Automation
GD Information Technology, Inc.
Remote, United States
Support platform deployments, upgrades, patching, hardening, configuration management, vendor escalation, and platform-specific vulnerability remediation.
Added 39 mins ago
J
Customer Solutions Architect
Jobgether
Remote, United States
- $150,000 to $185,000 USD / year
…deploy, configure, and optimize a cybersecurity recoverability platform across complex IT environments. Working closely with customer IT and security teams, you will ensure accurate data…
Added 41 mins ago
Product Manager, Integrations
Credo.AI
Remote, United States
- Turn one-off customer integrations into reusable platform connectors with a standard playbook for patterns, testing and support.
Added 1 hour ago
Enterprise Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Enterprise Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale…
Added 1 hour ago
Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring a Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo role.…
Added 1 hour ago
Associate Solutions Engineer, Post-Sale (Remote LATAM or US)
Whippy
Remote, United States
Hi, I'm Joe, Head of Customer Success at Whippy. I'm hiring an Associate Solutions Engineer to design and build the solutions our customers run their business on. This isn't a pre-sale demo…
Added 2 hours ago
ES
EverHealth - Lead Forward Deployed Engineer (Remote, US)
EverCommerce Solutions Inc.
Remote, United States
- $170,000 to $200,000 USD / year
…top of that foundation and hand proven patterns back to the platform. Our data-focused forward deployed engineer makes the work and its outcomes…
Added 2 hours ago
ES
EverHealth - Forward Deployed Engineer (Remote, US)
EverCommerce Solutions Inc.
Remote, United States
- $140,000 to $170,000 USD / year
EverCommerce (Nasdaq: EVCM) is a leading service commerce platform, providing vertically-tailored, integrated SaaS solutions that help more than 745,000 global service-based businesses…
Added 2 hours ago
ES
EverHealth - Software Engineer
EverCommerce Solutions Inc.
Remote, United States
- $130,000 to $160,000 USD / year
We are looking for a Software Engineer III to focus on EverHealth’s revenue cycle management (RCM) platform. RCM is at the heart of how our customers get paid, and we are building a new…
Added 2 hours ago
Senior Cloud Engineer
Laivly
Remote, United States
As a Senior Cloud Engineer, you'll play a key role in designing and operating secure, reliable, and high-performing AWS environments. You'll combine deep technical expertise with a…
Added 3 hours ago
Manager, DevOps Enterprise Architect
Amyris, Inc.
Remote, United States
…high-performance, sustainable ingredients and products. Our technology platform spans cloud-forward systems on Google Cloud Platform alongside on-premises infrastructure that supports our…
Added 3 hours ago
T
Staff Solutions Engineer
TwelveLabs
Remote, United States
- $198,000 to $260,000 USD / year
…design compelling proof-of-concepts, and demonstrate how our platform solves critical business…
Added 3 hours ago
Senior Staff Forward Deployed Engineer - Flow
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
Senior Staff Forward Deployed Engineer - Flow
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 3 hours ago
Senior Staff Forward Deployed Engineer - Flow
ServiceNow
Remote, United States
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 4 hours ago
H&
Principal Machine Learning Engineer
Hims & Hers
Remote, United States
- $180,000 to $200,000 USD / year
Hims & Hers is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are redefining healthcare by putting the customer…
Added 4 hours ago
Staff Application Security Engineer
BambooHR
Remote, United States
AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead…
Added 5 hours ago
Lead Protection and Controls Engineer
Monterra
Remote, United States
We're hiring our first Controls Engineer, who will serve as the technical authority and in-house subject matter expert on microgrid controls and protection. You'll work closely with our…
Added 5 hours ago
Hardware Systems Electrical Engineer
MatX
Remote, United States
We are looking for a Hardware Systems Engineer to join our Hardware Systems team. In this role, you will take full ownership of defining, designing, and validating compute trays, boards,…
Added 5 hours ago
AI Engineer
Computer Services, Inc.
Remote, United States
Support onboarding, technical guidance, and issue resolution for engineering users of AI platform tools.
Added 6 hours ago
D
Senior Offensive Security Engineer
Delinea
Remote, United States
- $150,000 to $175,000 USD / year
Delinea is the identity security platform that continuously controls what AI agents, humans and machines can do and for how long. It extends privileged access management from the point of…
Added 6 hours ago
K
Senior Analytics Engineer
Kit
Remote, United States
- $172,000 USD / year
…to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100%…
Added 6 hours ago
Senior Software Engineer
Portless
Remote, United States
…are growing fast, and we are looking for an elite, full-stack engineer to help us scale a world-class, globally distributed platform to power the future of cross-border…
Added 6 hours ago
Systems Administrator
Peraton
Remote, United States
Provide task-level and investigative support to the program’s Security Engineer
Added 6 hours ago
S
Solutions Architect
SpaceXAI
Remote, United States
- $164,500 to $210,000 USD / year
…adoption; design rollout strategies for new workflows, teams, and platform groups; partner with customers to operationalize AI-assisted development at scale; work closely with Account…

Closed listing

Jobgether

Senior Forward Deployed Solution Engineer

Remote, United States

This opening has closed.

The original listing is kept below for reference.

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Job details

Posting language: English
Posted: Oct 30, 2026

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Original job description

Archived listing. The details below describe a past opening.

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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