> Markdown version of [/jobs/ext/1257605-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/1257605-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** David Joseph & Company - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Salary:** $150,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Services, User Authentication, Microsoft Azure, Cloud Computing, Databases, DevOps, OpenID, OpenShift, Software Safety, Runbook, Security Assertion Markup Language (SAML), Software Deployment, AI Infrastructure, Okta, Backend, Kubernetes, Terraform - **Published:** July 13, 2026 - **Apply:** https://www.careerjet.com/jobad/us4d482a7d1ff495ca5ede2ca76d99ff42 ## About the Role * 3-8 years engineering, infra, or solutions * Kubernetes production + AWS/Azure/GCP * Startup or consulting DevOps background (NOT bank DevOps) * Customer-facing deployment experience * Helm, Terraform, ArgoCD, or comparable * Remote UK / NYC / MA / FL, East Coast or UK hours ## Description A Forward Deployed Engineer working directly with enterprise customers to deploy, integrate, and operationalize AI systems in real-world production environments - at the intersection of engineering, customer deployment, and AI reliability. You'd cover 3-4 concurrent customers, many running highly regulated systems with deeply embedded infrastructure and approval workflows. What you'll be doing * Lead deployments into customer environments: EKS, AKS, GKE, OpenShift, and on-prem Kubernetes clusters * Work directly with customer engineering, security, infrastructure, and operations teams across networking, identity, storage, observability, scaling, and reliability * Troubleshoot production and pre-production issues across Kubernetes, application services, databases, ingress, authentication, networking, and cloud infrastructure * Build deployment automation, Helm configurations, scripts, runbooks, and validation workflows * Drive technical scoping, effort estimation, risk assessment, rollout planning, and production readiness reviews * Partner with product and engineering teams to surface deployment patterns and integration gaps Tech stack: Kubernetes (EKS, AKS, GKE, OpenShift, on-prem); Helm, Terraform, ArgoCD; AWS/Azure/GCP; identity systems (OIDC, SAML, Keycloak, Entra ID, Okta), * Prior FDE, Solutions Engineering, or Implementation Engineering at a high-growth AI infrastructure or AI tooling startup. Direct domain match. * Kubernetes production depth across EKS, AKS, GKE, or OpenShift. The role is hands-on cluster work. * Worked on regulated enterprise deployments (banks, healthcare, government) with deep understanding of security, compliance, and approval workflows * Familiarity with AI evaluation, guardrails, observability, or AI safety/governance products. Direct adjacency to the company's product surface. * High ownership mentality with track record of driving ambiguous customer problems to closure independently Red Flags * Traditional DevOps background at banks or other traditional-sector enterprises. Hiring manager direct exclude. * Pure backend engineer without customer-facing exposure. The role is 50%+ customer-facing. * Cannot work East Coast US or UK time zones, or unavailable for twice-weekly evening calls with India * No Kubernetes production experience. Hard requirement. * Wants 9-to-5 or low-commitment culture. 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