Top Platform Engineer Jobs in NYC, NY

Build and operate a multi-tenant platform encompassing Kubernetes infrastructure, infrastructure-as-code, shared CI/CD pipelines, security and compliance controls, observability, identity, networking, and cost visibility. Establish reusable platform standards, enforce software supply-chain security, support AI development environments, and drive adoption across product teams. Provide technical leadership through architecture decisions, proof of concepts, code reviews, documentation, and migration support.

Leads platform architecture and hands-on infrastructure engineering across multi-tenant Kubernetes, infrastructure as code, CI/CD, cloud identity, security compliance, observability, and AI development environments. Designs scalable runtime, networking, identity, policy, and delivery systems while enforcing isolation and auditability. Owns strategic architecture decisions, reliability and security evidence, developer outcomes, and technical mentorship.

Build the core AI platform for an AI-native trading experience. Develop a high-performance Rust backend supporting streaming responses, low-latency tool execution, caching, and model orchestration. Design secure, observable APIs and runtime components with authentication, authorization, rate limiting, auditing, tracing, retries, and fallbacks. Build safe trading action infrastructure with deterministic previews, confirmations, idempotency, and audit logs while partnering with product and frontend teams.

Leads the design, delivery, and continuous improvement of core platform capabilities across AWS infrastructure, Kubernetes, CI/CD, observability, and developer tooling. Owns complex multi-quarter initiatives, improves reliability and scalability of cloud-native services, contributes to incident response, establishes engineering best practices, and mentors engineers. Requires strong backend and distributed-systems experience, infrastructure automation expertise, and proficiency in Go or Python.

Own the architecture and hands-on development of an internal AI-assisted software development platform. Lead infrastructure, Kubernetes, Terraform-based environments, CI/CD, cloud security, observability, compliance automation, developer experience, and AI coding-tool sandboxing. Establish tenant isolation, identity, networking, governance gates, cost tracking, and reliability practices. Provide architecture leadership, mentor engineers and vendors, advise executives, and travel to clients as required.

Design and operate shared platform services, cloud environments, internal engineering tools, and secure isolated environments for AI workloads. Improve system reliability, performance, and cost efficiency as traffic, data, and business entities grow. The role also supports secure releases, data infrastructure, sandboxing, and compliance expectations within a financial technology company.

Design, build, and operate scalable observability platforms across cloud and on-prem systems. Implement telemetry (logs, metrics, traces, RUM, synthetic), SLOs, alerting, and automation; integrate with ITSM; reduce alert noise and improve incident response and reliability.

Design, configure, develop, integrate, test, document, and sustain Salesforce CRM capabilities. The role supports data models, automation, security, APIs, reporting, identity, troubleshooting, release management, and platform governance. It translates government and business requirements into secure, accessible, maintainable solutions while collaborating with architects, cybersecurity, QA, operations, product owners, and stakeholders. The engineer also develops reusable patterns, technical documentation, test evidence, and operational runbooks for federal enterprise environments.

Owns administration, development, governance, upgrades, integrations, and support for ServiceNow and related business systems including NetSuite and Arena PLM. Builds workflows, scoped applications, automations, APIs, and system integrations; maintains data quality and CMDB integrity; supports testing and production releases; and partners with operations, service, engineering, supply chain, and finance stakeholders to deliver scalable solutions.

Own and evolve a secure, cloud-native internal developer platform for a federal health mission. Responsibilities include Terraform and GitOps foundations, multi-tenant Kubernetes on AWS GovCloud, self-service onboarding, MLOps/AIOps, data lakehouse enablement, observability, security automation, compliance artifacts, documentation, and stakeholder partnership. The role requires senior ownership of production platforms and offers opportunities for technical leadership.

Deploys and operates secure, scalable AWS cloud platforms across federal environments, including FedRAMP and classified workloads. Builds Kubernetes infrastructure, Terraform modules, Crossplane compositions, CI/CD workflows, automation, telemetry, documentation, and developer tooling. Evaluates technologies, improves deployment processes, manages concurrent initiatives, and supports platform reliability. Requires Go, AWS, Kubernetes, infrastructure-as-code, and federal security knowledge, along with U.S. citizenship and the ability to obtain and maintain a Top Secret clearance.

Lead a hands-on platform engineering function spanning full-stack product development, real-time Kafka and ClickHouse data/ML pipelines, cloud infrastructure, DevOps, security, and reliability. Own React, Node.js, and MongoDB applications; Terraform, Kubernetes, AWS/GCP, Docker, and GitHub Actions; production observability and incident response; and SOC 2 readiness. Establish AI-assisted engineering workflows using tools such as Claude Code and Cursor while replacing vendor-built infrastructure with durable internal automation.

Architect and deliver high-performance, scalable platform services across GitHub (Actions, Identity, Billing, Git systems, DB infra). Lead design through production, mentor engineers, own reliability and on-call responsibilities, design APIs, collaborate cross-functionally, drive roadmaps, and champion security and operational excellence.

Own the architecture and evolution of PermitFlow’s platform, monorepo, shared services, infrastructure, and agentic software development lifecycle. Lead architectural standards, migrations, AI-assisted code review, test generation, CI gates, observability, and background coding agents. Work across the stack as a product engineer while establishing scalable foundations adopted by multiple teams. The role requires deep platform engineering expertise, production infrastructure experience, and the ability to influence technical direction across the organization.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.

Own and improve the company’s platform, infrastructure, CI/CD pipelines, developer experience, automated testing, release processes, fleet observability, access model, and runtime dependencies. The role focuses on reducing release lead time across a large multi-tenant SaaS environment, modernizing infrastructure safely, documenting platform knowledge, and enabling engineers and AI agents to work more effectively.

Build and operate full-stack features for Nebius’s agentic web infrastructure, including high-throughput API gateways, customer and identity platforms, usage and billing interfaces, self-service workflows, feature entitlements, SDKs, CLI tools, MCP servers, and developer-facing documentation.

Design, develop, test, and deploy Web3 components for Citi’s digital assets platform. Build Java and Node.js backend services integrating public and permissioned blockchains, develop and audit smart contracts, manage on-chain events, and support tokenization, custody, and settlement solutions. Collaborate on secure, scalable infrastructure, participate in Agile delivery and code reviews, document architectures, and resolve technical issues across the Web3 stack.

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Design scalable architectures, optimize storage and query performance for high-volume data, ensure reliability through testing and monitoring, troubleshoot production issues, and collaborate with cross-functional teams on new features and technical documentation.

Owns RPM growth engineering, shipping enrollment, outreach, engagement, and provider features from concept to production. Shapes scalable architecture, contributes to the Aria AI coach, manages bugs and vulnerabilities, and investigates complex patient support issues. Requires strong full-stack TypeScript skills, product judgment, technical leadership, startup experience, and comfort working across frontend, backend, data, AI, and regulated healthcare systems.

Lead the architecture, scalability, reliability, performance, and cost efficiency of Cisco’s data platform. Define multi-quarter technical direction for storage, streaming, compute, observability, and performance tooling. Establish standards for schemas, migrations, SLOs, tenancy, retention, and capacity planning; lead major distributed-systems initiatives and production investigations; make technology and cost decisions; and mentor engineers across teams.

Build and manage secure cloud platforms, automated deployments, infrastructure as code, Kubernetes environments, and self-service developer capabilities. Administer Linux systems, troubleshoot production services, manage accounts and documentation, and collaborate with developers to resolve issues. The role includes operational ownership, on-call support, customer collaboration, AI-augmented delivery, and up to 25% travel. U.S. citizenship and the ability to obtain a security clearance are required.

Lead operational reliability and platform enablement for Databricks: build monitoring, CI/CD, deployment standards, compute and job policies, observability, runbooks, and governance to support secure, cost-aware, production data workloads across regulated environments. Mentor engineers and align platform with cloud/infrastructure and compliance requirements.

Design and build scalable software for NVIDIA’s multi-tenant cloud infrastructure, including network and systems automation, hardware and network provisioning, APIs, testing, deployment, and production services. Collaborate with engineers, architects, product managers, internal partners, and leadership to deliver robust distributed systems and contribute to open-source communities.

Designs, implements, administers, and supports enterprise cloud platforms, integrations, databases, middleware, and application services. The role develops secure, scalable architectures; automates deployments and administration; supports Oracle Cloud and related technologies; resolves complex platform and integration issues; and leads technical improvements. It also provides architecture guidance, customer consultation, requirements analysis, technical reviews, coaching, and training across the organization.