Forward Deployed Engineer – Staff

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Serve as an embedded engineering representative within the Infrastructure Software Division, collaborating with core software architects, product managers, and enterprise client developers.

• Recognize migration obstacles and platform usability issues, swiftly creating and testing on-site solutions.

• Manage customer interactions from pre-migration assessment to go-live and ensure operational stabilization.

• Develop production code, create manifests, troubleshoot live networking, storage, and GPU issues, and enhance VKS performance in production settings.

• Convert field-tested code, architectural designs, and customer challenges into prioritized features for the platform.

• Design, deploy, and uphold production-grade VKS clusters across VMware Cloud Foundation and hybrid cloud infrastructures.

• Spearhead migration strategies for enterprise platforms, bare-metal environments, and legacy data stacks to VKS or cloud-native Kubernetes.

• Implement, optimize, and scale AI inferencing workloads, RAG architectures, vector search, and model-serving frameworks on Kubernetes utilizing NVIDIA vGPU and MIG.

• Containerize, refactor, and migrate stateful services, message brokers, distributed caches, and risk calculation/analytics platforms to Kubernetes.

• Design cloud-native deployments for data processing, orchestration, and distributed AI frameworks.

• Advise clients using VKS in conjunction with OpenShift, EKS, GKE, AKS, and Rancher distributions.

⛳️ Requirements

• Minimum of 12 years of relevant experience required.

• Bachelor's degree is preferred.

• Relevant experience may be accepted in lieu of a degree.

• Strong alignment with product engineering processes; experience in or alongside core software/R&D divisions rather than solely in IT or professional services.

• Demonstrated ability to engage with customer technical leaders and developers throughout long-term, complex engineering projects.

• Capability to convert technical customer needs and field workarounds into product specifications and feature requests.

• Practical experience managing GPU-accelerated Kubernetes nodes.

• Familiarity with model serving runtimes such as vLLM, TGI, and Triton Inference Server.

• Knowledge of vector databases, including Milvus, Qdrant, and Pgvector.

• Experience with distributed AI orchestration tools like Ray and KubeRay.

• Background in containerizing and operating distributed caching, in-memory grids, compute/analytics engines, messaging/streaming platforms, and stateful workloads.

• Extensive technical expertise in containerized data services, AI engines, and orchestrators.

• Technical proficiency across OpenShift, EKS, GKE, AKS, or Rancher RKE/RKS.

• Advanced skills in Terraform, Helm, Kubernetes Operators (KPO), Cluster API (CAPI), and GitOps tools such as ArgoCD and Flux.

🏝️ Benefits

• Discretionary annual bonus.

• Competitive equity grant for new hires.

• Annual equity awards.

• Medical, dental, and vision insurance plans.

• Participation in a 401(K) plan with company matching.

• Employee Stock Purchase Program (ESPP).

• Access to Employee Assistance Program (EAP).

• Paid holidays provided by the company.

• Paid sick leave.

• Vacation time.

• Paid Family Leave and other leaves of absence in compliance with applicable laws.