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Added 3 hours ago
Sr. Staff Software Engineer, Cribl Detect
MONTROSE ENVIRONMENTAL GROUP
SALT LAKE CITY, UT
…value to customers. We're looking for a Senior Staff Software Engineer to join the Security Products team, focusing specifically on building next-generation AI SOC capabilities. While…
Added 3 hours ago
Senior Backend Engineer - AI Platform
WEX INC.
SALT LAKE CITY, UT
Added 3 hours ago
IT Senior Security Engineer - Governance, Risk, and Compliance
Delta Air Lines, Inc.
Atlanta, GA
The Sr. Security Engineer - Governance, Risk, and Compliance is a rare hybrid: a strategic governance leader and a hands-on automation engineer. This person excels at both the strategy and…
Added 13 hours ago
PF
Experienced Info Security Engineer (AI Automation)
Principal Financial Group
UNAVAILABLE
- $84,600 to $187,200 USD / year
Our AI Automation team is looking for an early-career engineer who is eager to learn, quick to try new things, and excited to turn emerging AI technology into real solutions that make work…
Added 13 hours ago
PF
Experienced Info Security Engineer (Product Owner Role)
Principal Financial Group
Des Moines, IA
- $104,400 to $191,000 USD / year
…(ISR) team is looking for a Product Owner to help drive AI and automation across Cyber Security, Security Governance, Identity & Access Management, and Data…
Added 13 hours 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 14 hours ago
Senior Staff Full-stack Engineer - Global Payment Network (Remote - Eligible)
Capital One
Jackson, MS
As an engineer in the Global Payment Network, you will apply your technical acumen to shape and deliver solutions to complex problems at massive scale. You will engineer solutions across…
Added 15 hours ago
Senior Manager, Full-stack Engineer-People Leader
Capital One
Cambridge, MA
Cambridge, MA: $229,900 - $262,400 for Sr. Manager, Full-stack Engineer
Added 16 hours ago
Quality Engineer Sr - E3
Lockheed Martin
Kennedy Space Center, FL · FL · North Merritt Island
Knowledge of SAP operating systems, Automation Framework, EPDM, P2P, and VECAMS
Added 16 hours ago
Sr Staff IT Systems Engineer - Google Workforce
Palo Alto Networks, Inc.
CA
Proven experience in a Systems Engineer or similar role with a strong background in IT infrastructure, support, and automation.
Added 18 hours ago
Sr. AI Engineer
CalPrivate Bank
San Diego, CA · Brea, CA · El Segundo, CA · Newport Beach, CA
The Role: Sr. AI Engineer- Data Analytics & Artificial Intelligence
Added 18 hours ago
Sr. Application Security Engineer
Pax8, Inc
Remote, United States
🛡️ Senior Application Security Engineer | United States | Remote
Added 18 hours ago
Sr. Business Systems Engineer
Engine
Remote, United States
You'll help build and connect the systems behind Engine's go-to-market motion: CRM, engagement, enrichment, automation, and the glue between them. Some of that lives in Salesforce; a lot of…
Added 19 hours ago
Sr. Principal Engineer, Employee Experience (Hybrid - Seattle, WA)
Nordstrom Inc
Seattle, WA
…harnessing the power of data. We are seeking a Sr. Principal Engineer - Employee Experience to join our Technology team. In this role you will define and drive the technical strategy,…
Added 20 hours ago
Sr. Controls and Automation Engineer
Decostar Industries Inc.
Piedmont, SC
Added 21 hours ago
Sr Software Engineer
Cengage Learning Inc.
OH
…with product and design teams in your role as senior software engineer. Together you will focus on improving customer outcomes through frequent stakeholder engagements and data-driven…
Added 21 hours ago
Sr. Application Security Engineer / Ethical Hacker
Sherwin-Williams
Cleveland, OH
The Senior Application Security Engineer position is responsible for planning and performing manual penetration testing of traditional and AI-enabled applications, identifying and…
Added 21 hours ago
Senior Forward Deployed Solution Engineer
Spectro Cloud
Remote, United States
We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU…
Added 22 hours ago
KS
Sr. Automation Engineer
Kelly Services
Morrisville, NC
- $145,000 USD / year
Sr. Automation Engineer - Morrisville, NC | 100% On-Site
Added 22 hours ago
A
Sr Mechanical Engineer
Actalent
Austin, TX
- $130,000 to $160,000 USD / year
Job Title: Mechanical Engineer Semiconductor FacilitiesJob DescriptionThis role leads the mechanical engineering design for advanced semiconductor and mission-critical facilities, from…
Added 22 hours ago
Sr. Infrastructure Design Engineer
NC Health Affiliates LLC DBA Blue Cross NC
United States
Independently plan, design, engineer, and maintain enterprise Elastic Stack (Elasticsearch, Logstash and Kibana) solutions.
Added 23 hours ago
Sr. Low Latency Enterprise Solutions Architect - VP
Citigroup
Irving, TX
…and hybrid cloud environments, integrating orchestration and automation to rapidly deliver infrastructure…
Added 23 hours ago
H
Senior Infrastructure Engineer
Harvey
Remote, United States
- $153,000 to $210,500 USD / year
We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of…
Added 23 hours ago
H
Senior Infrastructure Engineer
Harvey
New York, NY
- $153,000 to $210,500 USD / year
We're hiring a Sr. Infrastructure Engineer to own the shared layer that every Harvey IT system runs on. You'll join Core IT Engineering & Infrastructure, reporting to Dave Vega, Director of…
Added 1 day ago
TW
Sr Mgr, Site Reliability Engineer (SRE)
The Walt Disney Company
Orlando, FL
- $182,200 to $244,300 USD / year
Sr. Manager, Site Reliability Engineer provides strategic leadership across multiple SRE teams and their managers, ensuring alignment with organizational priorities and functional…

Spectro Cloud

Senior Forward Deployed Solution Engineer

Remote, United States

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Job details

Posting language: English
Posted: Oct 30, 2026

Original job description

About Spectro Cloud We are looking for a Sr. Forward Deployed Solution Engineer (FDSE) who is equally comfortable writing automation, troubleshooting a production Kubernetes cluster, whiteboarding a GPU fabric, and working with Customer leaders to be the tip of our FDE practice and guide the Customer to successful technical and business outcomes. You will join the FDE team and at the point with our Customer(s) where business or mission goals meet technical reality. You will translate desired outcomes into deployable architectures, build the automation and integrations needed to make those architectures real, and guide each deployment from first working capability through production readiness, scaled adoption, and operational handoff and working closely with our other FDE practice resources and the aligned Deployment Strategist. This is hands-on engineering not traditional staff augmentation, and not a role where the work ends with a slide deck or demo. You will work across Palette / PaletteAI, Kubernetes, cloud, bare metal, edge, GPU systems, data pipelines, high-performance networking, and the NVIDIA software and hardware ecosystem. You will also bring what you learn back into Product and Engineering so that the next deployment is faster, more standardized, and easier for our FDE teams and Customers to operate independently. The best candidates enjoy ambiguity, learn quickly, communicate directly, and care deeply about the difference between technology that is installed and capability that is genuinely useful. About You You thrive where the problem is important, the environment is complex, and the path is not yet fully defined. You can move between code, infrastructure, networking, user workflows, architectural reviews and guidance with other FDE team members, and Customer conversations without losing the thread of the outcome. You are curious without being careless, confident without pretending to know everything, and pragmatic without accepting permanent shortcuts. You communicate early when risk changes, write down what others will need later, and know that the best technical solution is one the customer can operate successfully. We do not expect one person to have deployed every product and technology outlined in this description. We do expect deep Kubernetes and automation capability, strong systems reasoning, customer-facing judgment, and the ability to become productive quickly in unfamiliar parts of the stack. Required qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field, or equivalent practical experience.
6+ years of professional experience in software engineering, platform engineering, site reliability engineering, DevOps, infrastructure engineering, solutions engineering, or a comparable customerfacing 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 and the ability to produce maintainable, tested, production-quality code.
Hands-on experience with infrastructure as code and configuration automation using technologies such as Terraform, Ansible, Cluster API, Helm, Kustomize, and equivalent tools.
Experience implementing CI/CD or GitOps workflows using platforms such as GitHub Actions, GitLab CI, Jenkins, Argo CD, Flux, or comparable systems.
Working knowledge of Kubernetes security and multi-tenancy, including RBAC, namespaces, network policy, admission controls, quotas, secrets, pod security, and tenant isolation.
Experience with at least one major public cloud and at least one datacenter deployment model such as bare metal, VMware, KubeVirt, Proxmox, or OpenStack.
Working knowledge of GPU-enabled infrastructure, including the relationship among firmware, drivers, CUDA, container runtimes, Kubernetes scheduling, device plugins, telemetry, and workload frameworks.
Working knowledge of the AI data and model lifecycle from data ingestion through model deployment, inference, monitoring, and feedback.
Solid 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.
Ability to communicate architecture, tradeoffs, status, and risk clearly to engineers, operators, executives, and nontechnical stakeholders.
Demonstrated ability to work through ambiguous requirements, prioritize effectively, and deliver iterative value in a fast-moving environment.
Ability to work onsite with Customer for discovery, deployment, testing, and operational milestones.
Authorization to work in the stated location and ability to satisfy customer-specific access requirements. Preferred qualifications
8+ years of relevant experience, including ownership of complex production deployments or strategic customer programs.
Direct experience with Spectro Cloud Palette / PaletteAI, Cluster API, Kubernetes fleet management, edge Kubernetes, or declarative full-stack lifecycle platforms.
Current CKA, CKS, CKAD, relevant cloud, networking, security, or NVIDIA certification.
Production experience designing or operating NVIDIA Cloud Partner (NCP) or comparable multi-tenant GPU cloud environments.
Deep experience with tenant isolation across bare metal, 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:ai, Slurm, Volcano, KAI, Ray, Kubeflow, ClearML, or comparable systems.
Experience with distributed training or high-throughput inference on H100, H200, B200, GB200, GB300, or other modern accelerator platforms.
Hands-on design or operational experience with NVIDIA Spectrum-X Ethernet fabrics, Quantum InfiniBand, ConnectX adapters, BlueField DPUs or SuperNICs, and DOCA OR other high-speed, lowlatency networking technologies.
Experience configuring or troubleshooting GPUDirect RDMA, GPUDirect Storage, RDMA, RoCE, PFC, ECN, ECMP, SR-IOV, Multus, InfiniBand, 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; 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, or metadata and lineage systems.
Experience 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. 2026-257

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