Platform Engineer

Job Description Platform EngineerLocation: New York, NYWork Style: In-officeCompensation: $200,000 - $375,000 depending on experience. About Our ClientOur client is building an AI-native infrastructure platform that helps engineering teams investigate, resolve, and prevent production issues faster. Their product is designed to give engineers time back by automating the operational work that slows teams down and keeps them away from building great products.This is an opportunity to join a fast-moving startup building at the intersection of infrastructure, AI agents, developer tooling, service reliability, and enterprise-grade integrations.About the RoleOur client is hiring a Platform Engineer to own the foundational systems that power product engineering velocity, service infrastructure, and the connectivity layer between AI agents and customer environments.This role is core to how the company ships. You'll build and operate the systems behind every agent invocation, every customer onboarding workflow, and every internal engineering process. This includes internal admin tooling, deployment and observability pipelines, integration infrastructure, MCP gateway systems, and the platform primitives that help customers get value in days instead of weeks.You'll partner closely with product, field engineering, and research teams. Your work will compound across every team building on top of the platform.What You'll DoBuild platform systems that accelerate engineering velocity across the companyOwn internal admin tooling, CI/CD, deployment pipelines, dev/demo environments, and AI-native engineering workflowsBuild and maintain core service infrastructure across Kubernetes, observability, shared libraries, secret management, and deployment abstractionsSet the standard for what “production-ready” means across the engineering organizationOwn data infrastructure that supports evaluations, experimentation, agent behavior, customer telemetry, resource graphs, and investigation tracesDesign clean schemas, storage patterns, and access layers that keep critical product data reliable and usableBuild and operate the connectivity layer between agents and customer environmentsOwn MCP gateway systems, OAuth, credential management, customer integrations, API routing, and self-hosted server lifecycleImprove reliability, security, and enterprise trust across multi-tenant integration systemsCreate platform tooling that is adopted and loved by both engineers and AI agentsWhat We're Looking For3+ years of experience in platform, infrastructure, backend, or systems engineeringStrong experience with service-oriented architecture, networking, and distributed systemsAbility to reason clearly about how data, traffic, and failures move through complex systemsStrong TypeScript experienceHands-on experience operating production services on KubernetesExperience taking ambiguous technical goals from prototype to productionStrong code quality and data modeling skillsProduct-minded approach to platform engineeringAbility to build tooling that improves the day-to-day experience of engineersComfort using AI aggressively in personal engineering workflowsHigh ownership, strong communication, and a bias toward buildingBonus ExperienceExperience with MCP, OAuth, API gateways, or multi-tenant integration platformsExperience with OTEL, distributed tracing, Datadog, observability, or SRE best practicesExperience building internal admin tools or developer toolingExperience building systems used by both humans and AI agentsExperience with LLM systems, agent tooling, context management, tool use, or sandboxingWho Thrives HereThe right person is a builder who enjoys owning foundational systems in a fast-paced startup environment. They think in systems, care deeply about reliability and developer experience, and enjoy creating leverage for every engineer around them.This person is excited to work in person with an ambitious, thoughtful team in New York and is energized by zero-to-one product development, rapid iteration, and AI-native engineering.Why This OpportunityBuild foundational platform systems at an AI-native infrastructure companyOwn work that directly impacts product velocity, customer onboarding, and agent reliabilityPartner closely with product, research, and field engineering teamsWork on hard problems across Kubernetes, observability, integrations, data infrastructure, MCP, and AI agent connectivityJoin a high-ownership startup environment with meaningful technical scopeHelp define the platform layer that every product and engineering team builds on top ofCompensation & BenefitsCompetitive salary and meaningful equityFully covered health, dental, and vision insuranceRetirement benefitsUnlimited PTODinner covered on late nightsMonthly fitness stipendEquipment and tools needed to do your best workCommuter benefits, including Citi Bike and train benefitsInterview ProcessApplication reviewIntroductory conversationFounder interviewTechnical interviewOnsite interviews with the teamFinal decisionIdeal Candidate ProfileThe ideal candidate is a platform-minded engineer who loves building infrastructure that other engineers depend on. They have strong backend and systems fundamentals, care about reliability and developer experience, and are excited to build the connective tissue between AI agents, customer environments, and production infrastructure.