Forward Deployed Engineer - Kubernetes. enterprise deployments and DevOps
Job Description
Job DescriptionSalary - $150,000 - $200,000What You'll OwnLead deployments of Dynamo AI products into customer environments: EKS, AKS, GKE, OpenShift, and on-prem Kubernetes clustersWork directly with customer engineering, security, infrastructure, and operations teams across networking, identity, storage, observability, scaling, security, and reliabilityTroubleshoot production and pre-production issues across Kubernetes, application services, databases, ingress, authentication, networking, and cloud infrastructureBuild deployment automation, Helm configurations, scripts, runbooks, and validation workflowsDrive technical scoping, effort estimation, risk assessment, rollout planning, and production readiness reviewsPartner with product and engineering teams to surface deployment patterns, integration gaps, and customer-driven improvementsRequirementsMust-Have3-8 years post-undergrad in software engineering, infrastructure engineering, platform engineering, solutions engineering, or customer-facing engineering (1+ year post-grad with master's also acceptable)Strong hands-on Kubernetes production experience plus at least one major cloud (AWS, Azure, or GCP)Infra engineer or DevOps background at a startup, solutions company, or consulting firm. Traditional DevOps from banks or other "traditional sector" companies is a hard exclusion per the hiring manager.Customer-facing deployment experience: comfortable interfacing with customer engineering, security, and compliance teamsComfortable with East Coast US or UK time zones, with availability for twice-weekly evening calls to collaborate with the India teamNice-to-HaveMaster's or beyond in Computer Science, Engineering, or related fieldFamiliarity with Generative AI systems, LLM applications, AI infrastructure, or model deployment workflowsExperience working in financial services, healthcare, government, or other regulated industriesIdentity and access systems experience (OIDC, SAML, Keycloak, Entra ID, Okta)AI evaluation, guardrails, observability, or monitoring systems backgroundPrior FDE, Solutions Engineering, or Implementation Engineering at a high-growth AI infrastructure or AI tooling startup