Find work in the United States.

A simpler way to find your next job.

Jobs in the United States

25+ jobs

Save this search

Added 8 mins ago
O
Lead Principal Software Development Engineer
Oracle
Dover, DE
- $135,200 to $306,400 USD / year
As a Sr. Principal Software Development Engineer in the Oracle Cloud Infrastructure (OCI) Core Platform division, you will play a critical leadership role in the architecture, evolution,…
Added 8 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Dover, DE
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create…
Added 8 mins ago
Software Engineer, Systems ML
Meta
Dover, DE
Meta is seeking a principal-level Software Engineer to drive technical strategy and execution across our Systems ML Engineering organization. In this role, you will define the architectural…
Added 8 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Dover, DE
As a Senior Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented…
Added 8 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Dover, DE
- $169,300 to $304,700 USD / year
Are you passionate about architecting scalable systems and leading technical innovation?
Added 8 mins ago
Site Reliability Engineer
Highmark Health
Dover, DE
Troubleshoots technical issues related to medical equipment and systems in partnership with Clinical Engineering and Cybersecurity Engineering. Assists with maintaining assets throughout…
Added 8 mins ago
Software Engineer III - Python/AI/MLOps
JPMorgan Chase
Wilmington, DE
As a Software Engineer III - Python/AI/MLOps at JPMorganChase within the Corporate Technology team, you serve as a seasoned member of an agile team to design and deliver trusted…
Added 2 hours ago
Senior Staff Engineer - Agentic Identity
Cisco Systems, Inc.
Remote, United States
As a Technical Leader on our team, you will define and build core agentic identity capabilities across cloud, on-premises, and hybrid architectures. You will lead technical strategy from…
Added 2 hours ago
Senior Solutions Engineer - FDSE Public Sector - Splunk (Remote)
Cisco Systems, Inc.
Remote, United States
Singular focus as an embedded engineer is to influence technical decision markers by strategically accelerating customer business outcomes, compressing time to value, and delivering…
Added 2 hours ago
Principal Software Engineer, AI Defense (Hybrid)
Cisco Systems, Inc.
Milpitas, CA
As a Principal Software Engineer for AI Defense, you will serve as the chief technical authority driving the end-to-end security architecture for Cisco's enterprise AI ecosystems. You will…
Added 2 hours ago
Machine Learning Engineering Technical Leader
Cisco Systems, Inc.
Remote, United States
We’re looking for a Senior AI/ML Engineer to help build the Internet of Cognition, not simply execute someone else’s roadmap. You’ll transform concepts like shared context, shared intent,…
Added 2 hours ago
Cloud Engineer
Cisco Systems, Inc.
RTP, NC
…implementing, and optimizing Cisco's cloud-based and hybrid infrastructure with a strong focus on kubernetes, terraform, network, cloud and data center operations. Our team partners with…
Added 2 hours ago
Adoption Engineer - Federal - ThousandEyes (Remote)
Cisco Systems, Inc.
Remote, United States
We are looking for an exceptional Adoption Engineer to join our team of superheroes. You will have the opportunity to be the customer interface of an exciting new technology. The Adoption…
Added 2 hours ago
ASIC Failure Analysis Engineer (Onsite)
Cisco Systems, Inc.
San Jose, CA
As a Failure Analysis Engineer, you will be part of the Quality and Reliability group, performing failure analysis of ASIC products. Should have a passion for problem solving and a strong…
Added 2 hours ago
Senior Software Engineer - Java, AWS, & Distributed Systems
BOK Financial
OR
As a Senior Software Engineer, you’ll be a hands-on technical leader and key contributor in a cross-functional team, often acting as a technical lead. You’ll design, build, and operate Java…
Added 2 hours ago
Sr. Software Engineer (Node)
Jobgether
Remote, United States
We are looking for an experienced backend engineer to lead the design and development of scalable, reliable backend systems. In this senior role, you will take ownership of complex…
Added 2 hours ago
Senior .NET Developer (Fintech)
Jobgether
Remote, United States
We are looking for a senior backend engineer to build and maintain reliable financial technology services supporting payment processing and business operations. In this role, you will…
Added 2 hours ago
Co-Simulation Engineer III
Jobgether
Remote, United States
…capabilities for hyperscale data centers and complex cooling infrastructure. In this role, you will combine thermo-hydraulic modeling, computational fluid dynamics (CFD), and multi-domain…
Added 2 hours ago
VL
Sales Development Rep -SF Bay Area
vCluster Labs
Remote, United States
- $100,000 to $120,000 USD / year
- Technical Curiosity: You don’t need to be an engineer, but you must be "K8s-curious." You are excited to learn the difference between a pod and a virtual cluster so you can speak with…
Added 2 hours ago
VL
Sales Development Rep -NYC
vCluster Labs
Remote, United States
- $100,000 to $120,000 USD / year
- Technical Curiosity: You don’t need to be an engineer, but you must be "K8s-curious." You are excited to learn the difference between a pod and a virtual cluster so you can speak with…
Added 3 hours ago
Windows Systems Engineer (Application Packaging / Endpoint Environment
Jobgether
Remote, United States
As a Windows Systems Engineer, you will help modernize and maintain a large-scale endpoint environment, supporting technologies such as Windows 11, Microsoft 365, and enterprise device…
Added 3 hours ago
WAN Engineer
Jobgether
Remote, United States
As a WAN Engineer, you will oversee enterprise network operations, resolve technical challenges, and help ensure uninterrupted connectivity across mission-critical environments. You will…
Added 3 hours ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
The ideal candidate is an experienced software engineer and technical leader who can combine strong implementation skills with sound architectural judgment, delivery accountability, and the…
Added 3 hours ago
J
Senior Software Development Engineer (Full Stack)
Jobgether
Remote, United States
- $140,000 to $155,000 USD / year
As a Senior Software Development Engineer, you will help build and evolve scalable infrastructure powering real-time voice and messaging experiences. You will take ownership of key platform…
Added 3 hours ago
Senior Data Architect
Jobgether
Remote, United States
…DevOps practices. Working directly with business stakeholders, technical teams, and executive leaders, you will translate complex requirements into practical solutions that deliver…

Jobgether

Senior Forward Deployed Solution Engineer

Remote, United States

Apply About employer

Applications open in a new tab.

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.

Apply About employer

Report this job