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Added 7 mins ago
SI
Software Engineer, Specs Lenses C++, Level 5
Specs Inc.
Los Angeles, CA · San Francisco, CA · Palo Alto, CA · Bellevue, WA
- $178,000 to $313,000 USD / year
We’re looking for a Software Engineer to join Lens Studio at Snap Inc!
Added 11 mins ago
Senior Specify Software Developer
University of Kansas
Lawrence, KS
We are searching for a software engineer to help us document the diversity of life on Earth. The ideal candidate values meaningful work contributing to a global mission that builds on 350…
Added 11 mins ago
Assistant Project Manager - AI Data Centers
Jacobs
Lawrence, KS
At Jacobs, you will do what you are most passionate about, at a scale and with a client roster that defines the future of AI infrastructure.
Added 11 mins ago
K
Senior Civil Engineer - Kiewit Power Engineering
Kiewit
Lenexa, KS
- $138,000 to $145,000 USD / year
…dynamic engineering team. In this role, you will support or lead site development projects across a diverse range of industries, contributing to innovative and impactful infrastructure…
Added 11 mins ago
Substation Engineer - Kiewit Power Engineering
Kiewit
Lenexa, KS
As an entry-level Substation Engineer, you will be a part of a growing team that supports all aspects of the construction process by performing innovative design engineering through…
Added 11 mins ago
Electrical Engineer - Power System Studies (Distribution) Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
Electrical Engineer - Power System Studies (Distribution)
Added 11 mins ago
Construction Manager - Simple/Combined Cycle Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 11 mins ago
Civil - Senior Engineering Technician - BESS Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
…of high-quality engineering deliverables for these complex infrastructure projects. Functioning in a lead technician capacity, this position performs technical tasks requiring advanced…
Added 11 mins ago
Piping Superintendent - Simple Cycle - Oklahoma Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 11 mins ago
Solar Survey Party Chief Job Details | Black & Veatch Family of Companies
Black & Veatch
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 11 mins ago
Piping Superintendent - Simple Cycle - Oklahoma
Overland Contracting
Overland Park, KS
…ever-evolving world. With over 100 years of innovation in sustainable infrastructure and our expertise in engineering, procurement, consulting and construction, together we are building a…
Added 11 mins ago
Cyber Operate Manager - GCP Cloud DevOps Engineer
Deloitte
Wichita, KS
Deloitte is seeking a Lead Managed Services Engineer II to design, automate, and operate enterprise-scale cloud capabilities that support clients' critical cyber assets. In this role, you…
Added 11 mins ago
Cyber Operate Manager - Identity Security Architect & Product Engineering
Deloitte
Wichita, KS
Join Deloitte as a Lead Managed Services Engineer II and help design, engineer, and deploy identity security capabilities across enterprise environments. You will advance attack path…
Added 11 mins ago
O
Lead Principal Software Development Engineer
Oracle
Topeka, KS
- $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
Director, AI Engineer (Remote Eligible)
Capital One
Topeka, KS
…personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the…
Added 12 mins ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Topeka, KS
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 12 mins ago
Senior Software Engineer – Splunk Platform Authorization
Cisco
Topeka, KS
Join Cisco’s Splunk Integrated Core Platform team and help shape the architecture behind the authorization infrastructure that powers Splunk’s enterprise observability and security platform.
Added 12 mins ago
AT
Principal Software Engineer - (Reston or Cambridge)
Akamai Technologies, Inc.
Topeka, KS
- $169,300 to $304,700 USD / year
As a Principal Software Engineer Lead, you will be responsible for:
Added 12 mins ago
Intern, Manufacturing Engineer (QA) (Olathe, Kansas (KS), US, 66061)
SPX
Olathe, KS
Support and work with the Quality team to reduce errors that lead to customer complaints.
Added 17 mins ago
SB
Full Stack Engineer*
San Bernardino County
San Bernardino County, CA
- $47.11 to $66.5 USD / hour
The Innovation and Technology Department is seeking a versatile and experienced Full Stack Engineer* to administer, integrate, customize, and support enterprise application platforms and…
Added 19 mins ago
A
Data Center Technical Operations Engineer I
Actalent
Boardman, OR
- $25 to $31 USD / hour
The Data Center Technical Operations Engineer I is responsible for day-to-day engineering operations within a mission-critical data center facility. This role focuses on risk management and…
Added 31 mins ago
MT
Wet Mechanical Operations Engineer
Micron Technology, Inc.
Clay, NY
- $123,000 to $208,000 USD / year
…engineering, construction, and operations teams to deliver complex infrastructure that enables innovation at scale. Join a collaborative team where learning, technical growth, and…
Added 31 mins ago
NY Distribution Planning Engineer (ALL LEVELS)
Avangrid Service Co
BIBLE SCHOOL PARK, NY
Title: Distribution planning Engineer (All Levels) Reports to: Manager of Distribution Planning (RG&E) Work location: Rochester NY, Binghamton NY Work type: In Office We do provide GREAT…
Added 32 mins ago
Senior AI Software Engineer
Credence Management Solutions LLC
ROME, NY
…Summary Credence has an immediate need for a Senior AI Software Engineer to join our growing AI and Automation practice. In this role, you will serve as a senior technical contributor…
Added 32 mins ago
Agent Product Manager
Kelly Services
Manhattan, NY
…meaningfully accelerate Pylon's mission to be the programmatic infrastructure that unlocks speed and scale across the mortgage…

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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