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Added 12 mins ago
O
Lead Principal Software Development Engineer
Oracle
Boise, ID
- $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 12 mins ago
Senior Data Engineer
Idaho Power Company
Boise, ID
Lead technical delivery of complex enterprise data solutions within assigned projects
Added 12 mins ago
Senior Staff Software Engineer, Institutional Exchange
Coinbase
Boise, ID
…across markets with speed, depth, and trust. As a Senior Staff Software Engineer on the Exchange team, you'll set the architectural direction for the matching engine, order management,…
Added 12 mins ago
Director, AI Engineer (Remote Eligible)
Capital One
Boise, ID
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added 12 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Boise, ID
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
Added 13 mins ago
EG
Dev Lead
Eliassen Group
Boise, ID
- $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 22 mins ago
Lead Sales Engineer - Industrial
Eaton Corporation
Anchorage, AK
Eaton’s North American Sales division is currently seeking a Lead Sales Engineer to join its team located in Anchorage, Alaska. This exciting opportunity provides the chance to support…
Added 22 mins ago
EG
Dev Lead
Eliassen Group
Juneau, AK
- $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
Quality Assurance Engineer
CACI International
Albuquerque, NM
CACI is seeking a highly motivated, detail-oriented Quality Assurance Engineer to join its Product Assurance team in Albuquerque, NM. The successful candidate will be an independent thinker…
Added 26 mins ago
EG
Dev Lead
Eliassen Group
Santa Fe, NM
- $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 41 mins ago
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Senior Software Engineer
Publicis Groupe Holdings B.V
Irving, TX
- $88,900 to $165,100 USD / year
We are looking for a highly experienced Senior Software Engineer (7–10 years) to design, build, and scale robust backend systems using Java and Python in an Agile environment. This role has…
Added 55 mins ago
EG
Dev Lead
Eliassen Group
Montpelier, VT
- $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
Software Engineering Technical Leader
Cisco Systems, Inc.
Milpitas, CA
Lead CNV architecture and delivery, from design through deployment, to build secure, reusable visualization capabilities that Cisco enterprise product teams adopt. Build high-performance 2D…
Added 1 hour ago
Software Engineer, Hybrid
Cisco Systems, Inc.
RTP, NC · San Jose, CA
…To support this transformation, we are looking for talented software engineers to drive our business capabilities forward. Responsibilities…
Added 1 hour ago
Director, AI Engineer (Remote Eligible)
Capital One
Dover, DE
Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails,…
Added 1 hour ago
EG
Dev Lead
Eliassen Group
Dover, DE
- $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 3 hours ago
Principal Engineer & Technical Lead - Azure / Containers
Aperia
Dallas, TX
Title options: Principal Engineer, Lead Software Engineer / Technical Lead – Cloud Platforms, or Staff Engineer – Azure.
Added 3 hours ago
Senior DevSecOps Engineer - Top SECRET - ONSITE
VISUAL SOFT, INC
Huntsville, AL
We are seeking an experienced **Senior DevSecOps Engineer** to design, automate, and secure our enterprise CI/CD workflows and cloud architecture. In this role, you will embed **DevSecOps**…
Added 4 hours ago
Product Analyst
Hays
Denver, CO
…the business and deep knowledge of customers to design and delivery teams. The product manager is expected to track industry trends and the competitive landscape pertaining to their…
Added 4 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 4 hours ago
Sr. Electrical Engineer - Federal
Jobgether
Remote, United States
The Senior Electrical Engineer will serve as a technical leader, overseeing complex engineering projects and ensuring the delivery of high-quality, client-focused solutions. This role…
Added 4 hours ago
J
Director, Software Engineering
Jobgether
Remote, United States
- $200,000 to $250,000 USD / year
As Director of Software Engineering, you will shape the technical foundations, engineering practices, and security strategy behind a growing education technology platform. Working across…
Added 5 hours ago
Sr. Software Engineer
ACE American Insurance Company
Whitehouse Station, NJ · Jersey City, NJ
As a Senior Software Engineer in Major Accounts Technology, you will architect, design, and implement robust .NET-based software and web applications, while also maintaining and enhancing…
Added 5 hours ago
J
Senior Technical Lead - AI Product Engineering (CMH Health)
Jobgether
Remote, United States
- $131,600 to $249,780 USD / year
As a Senior Technical Lead, you will shape the technical direction and delivery of AI-enabled healthcare products, transforming complex actuarial and business workflows into reliable,…
Added 5 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…

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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