Top Senior Platform Engineer Jobs in NYC, NY

Lead security tooling and enablement for a global SaaS platform. Build automation, pipeline guardrails, and developer workflows covering application security, dependency and supply chain security, containers, artifacts, cloud posture, vulnerability management, and policy enforcement. Partner with Security and Engineering teams, lead proofs of concept and technical initiatives, improve security tooling usability, and support responsible adoption of AI-assisted engineering and security tools.

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.

Lead the architecture and operation of a high-volume cloud data platform. Design storage, distributed databases, and streaming systems; run containerized applications; build automated delivery pipelines and infrastructure code; optimize reliability across application, storage, and network layers; maintain security and compliance; and coach engineers. The role requires AWS production experience, ownership of dependable distributed systems, and participation in on-call support.

Lead the technical direction and development of scalable batch and streaming data pipelines and products. Establish data quality, observability, freshness, recovery, governance, and cost standards; investigate production incidents; and build trusted data context layers with lineage, metric semantics, ownership, and governed access. Apply AI-assisted workflows to pipeline development, validation, and troubleshooting while mentoring engineers and influencing architecture across teams.

Leads an AI engineering team building scalable, responsible generative AI platform services, including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and governance. Establishes technical strategy, optimizes production AI systems for cost and performance, manages cloud deployments, translates enterprise goals into roadmaps, and develops engineering talent.

Build and operate Thomson Reuters’ scalable search platform, including document ingestion pipelines, indexing systems, query APIs, cloud infrastructure, and AI-enabled retrieval capabilities. Responsibilities include designing distributed services, migrating from OpenSearch to Vespa, improving observability and reliability, participating in on-call, owning production incidents, mentoring engineers, and collaborating with research scientists and client teams to deliver search and AI features.

Design, develop, test, deploy, and maintain reliable data pipelines and integration solutions using Python, Apache Airflow, Astronomer, Snowflake, SQL, and AWS. Build reusable Airflow components, monitor and troubleshoot production workflows, maintain documentation, and apply software development practices including testing, modularity, CI/CD, and issue remediation. Collaborate with architects, data engineers, and analysts to improve data products and services.

Build and maintain scalable platform tools, infrastructure, and automation supporting software development and deployment. Develop C#/.NET solutions, manage Kubernetes environments, implement Helm and GitOps practices, and improve distributed-system reliability, observability, performance, and deployment strategies. Troubleshoot complex infrastructure issues, collaborate with engineering stakeholders, conduct code reviews, and mentor engineers. The role requires cloud-platform experience and expertise in microservices, containerization, and modern application delivery.

Own and evolve the platform supporting product engineering teams, including reliability, observability, test infrastructure, developer experience, infrastructure strategy, cost management, compliance controls, and platform on-call. Lead AWS, EKS, Terraform, CI/CD, and multi-account platform improvements while defining the roadmap and partnering with engineering teams and infrastructure vendors.

Build and operate secure, resilient distributed systems for secrets and key management across Cloudflare’s global network. Re-architect internal PKI and machine or workload identity systems, participate in on-call incident response, support internal developers, and advise engineering teams on secure system design. The role requires software development, distributed systems expertise, Linux/UNIX administration, and hands-on security implementation experience.

Deploys and operates Kubernetes environments across AWS, Azure, and on-premises infrastructure. Builds UDS packages and application modules using infrastructure-as-code, supports customers through onboarding and training, troubleshoots production issues, provides on-call support, and improves delivery processes through operational analysis and customer feedback. The role also contributes to product direction, service development, deployment playbooks, and team mentorship.

Designs and supports secure, compliant DevOps platforms across Azure and GCP. Owns CI/CD pipelines, Kubernetes environments, JFrog services, Argo CD, SonarQube, and LaunchDarkly. Implements software supply chain security, vulnerability management, automation, infrastructure as code, developer self-service, and compliance controls. Provides L3 support, incident response, root cause analysis, documentation, and on-call support for enterprise platform services.

Own the roadmap for platform integration capabilities and developer experience, enabling Amex teams and approved partners to build secure agent-enabled experiences. Lead discovery, requirements, onboarding, testing, documentation, adoption, and iterative improvement. Partner with engineering, identity, security, analytics, architecture, legal, compliance, and product teams to define reusable authentication and authorization patterns, manage dependencies, prioritize investments, and improve integration reliability and developer outcomes.

Own and improve Dropbox’s Windows endpoint platform, including provisioning, application delivery, patching, compliance, security configuration, troubleshooting, fleet health, and automation. Build code-managed endpoint operations using Intune, FleetDM, osquery, infrastructure-as-code, and GitOps practices. Lead cross-functional improvements, establish reliable deployment workflows, mentor engineers, review code and designs, and document reusable operational practices.

Own the company’s data platform and database ecosystem, including customer data migration pipelines, ingestion, transformation, CI, dry runs, safe reruns, and onboarding-time measurement. Manage database configuration, backups, restores, and the planned MySQL-to-PostgreSQL consolidation. Build reliable, version-controlled systems using SQL, Python, C#, and AI-assisted development practices. The role is remote, reports to the CTO, and requires close collaboration with onboarding and engineering stakeholders.

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.

Develop and maintain Java-based security services for Citi’s digital assets platform, including cryptographic libraries, key management, signing workflows, HSM integrations, and MPC-based wallet infrastructure. Establish secure distributed-system patterns, conduct threat modeling and design reviews, integrate security testing into CI/CD, and provide technical leadership for cryptographic decisions, vulnerability triage, and security incidents.

Build and operate cloud-native platform infrastructure enabling AI agents in healthcare: safe CI/CD for agent capabilities, agent-focused observability, scalable infrastructure, automation, runbooks, and incident response.

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.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Design platform APIs, plugins, SDKs, job orchestration, authentication, RBAC, observability, testing, and reliability features. Provide technical leadership through architecture and code reviews, mentoring, and ownership of complex cross-component problems.

Leads the architecture, development, and evolution of cloud-native platform services, shared APIs, SDKs, automation, and developer self-service capabilities. Establishes standards for reliability, security, CI/CD, governance, observability, and scalable platform adoption. Drives AI-enabled engineering platforms, including LLMs, agents, MCP, and RAG, while providing technical leadership, mentoring, and cross-functional collaboration across engineering, product, security, architecture, and operations teams.

Lead end-to-end engineering for a multi-cloud GenAI platform. Build and operate secure, scalable infrastructure across AWS, Azure, and GCP; manage Kubernetes environments, CI/CD pipelines, deployment automation, observability, reliability, and cloud-native architectures. Provide technical leadership, define tool stacks, guide engineering practices, design distributed systems, and support AI/ML workloads including model-serving systems, APIs, and retrieval-based architectures.

Design, build, and operate full-stack services for Unity’s global advertising platform. Own TypeScript and NestJS APIs, data models, schema migrations, event-driven integrations, and React interfaces. Operate containerized services on Kubernetes, maintain SLOs, improve observability, and ensure correctness across serving, billing, and reporting systems. Mentor engineers and establish development standards through design and code reviews.

Build and operate database and storage platform software, services, APIs, and developer tools. Solve scaling, performance, reliability, and data correctness challenges across distributed systems, cloud infrastructure, and backend services. Partner with engineering teams on schema design, migrations, and platform adoption; lead technical projects through rollout and operational ownership, including on-call and incident response. Use AI-assisted tools thoughtfully while balancing performance, cost, maintainability, and developer experience.

Build and operate database and storage platform software, including services, APIs, developer tools, provisioning automation, migrations, upgrades, and scaling solutions. Solve distributed systems and database performance challenges while ensuring reliability, correctness, and availability. Partner with engineering teams on schema design and platform adoption, lead technical projects through rollout and operations, participate in on-call response, and use AI tools thoughtfully in development.