Top Senior Platform Engineer Jobs in NYC, NY

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

The role involves designing and improving AI/ML platforms and operational infrastructure, collaborating with engineers and product managers, and mentoring teams on MLOps best practices.

Responsible for building new products, updating existing offerings, leading projects, mentoring, and ensuring quality and alignment in technical implementation. Collaborate with teams to drive projects from ideation to production.

Build and operate Radar's infrastructure and developer platform to support 1B API calls/day. Work on backend, SDKs, and data systems using TypeScript, Rust, Python, and Scala. Improve observability, automation, CI/CD, IAM, feature flags, and security; enable self-serve developer workflows; collaborate with SRE, data, QA, and customers; participate in on-call rotation.

Design, build, and maintain scalable backend services for patient care workflows, ensuring high performance and collaborating with multiple teams.

Lead design, development, deployment, and support of foundation model training and LLM inference platforms. Build similarity search, guardrails, evaluation, governance, and observability. Optimize large-scale AI systems for cost, latency, throughput, and scalability; contribute to technical vision and roadmap while partnering across engineering, research, product, and program teams.

As a Senior Lead AI Engineer, you'll design and support AI systems, collaborating with teams to enhance customer interactions and deliver AI-powered products.

Build and maintain low-latency broker trading platform features, integrate internal/external APIs, ensure data accuracy, own production changes with monitoring, perform code reviews, collaborate with product and cross-functional teams, and maintain high availability and system operations.

Design, build, and operate enterprise-scale multi-cloud infrastructure (Azure primary, GCP, AWS exposure). Own landing zones, Terraform modules, production AKS/GKE Kubernetes, Vault secrets, hybrid networking, CI/CD pipelines, monitoring, DR, and automation (Ansible, Python/Bash). Mentor engineers, document runbooks, and collaborate with security, application teams, and leadership to ensure secure, reliable, cost-optimized cloud platforms.

Operate and scale a high-throughput Kafka streaming platform: investigate incidents, optimize performance, integrate open-source components, develop control and data plane tooling, tweak low-level client behavior, drive complex projects, and mentor junior engineers.

As a Senior Infrastructure Engineer, you'll build scalable systems for a next-generation search platform, ensuring data integrity and user experience while collaborating with cross-functional teams.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

The Senior Platform Infrastructure Engineer will design, develop, and maintain infrastructure software, collaborate with teams, and troubleshoot issues across trading systems.

As a Sr. Lead AI Engineer, you will design, develop, and manage AI software components, working with cross-functional teams to advance AI applications at Capital One.

Lead and scale foundational platform systems: optimize PostgreSQL performance, build CI/CD pipelines, manage message queues, implement IaC with Terraform, architect observability, drive security and SLOs, and maintain container orchestration to ensure reliability, scalability, and developer velocity.

As a Senior Lead AI Engineer, you will design and develop advanced AI systems, collaborate with cross-functional teams, and introduce innovative AI techniques while mentoring others.

The Senior Lead AI Engineer will collaborate with cross-functional teams to design, develop, and implement AI software solutions, focusing on large-scale production systems and AI model optimization.

Design, build, and maintain provider- and care-team-facing web interfaces for clinical and operational workflows. Own features end-to-end, drive frontend architecture, optimize client-side performance and accessibility, collaborate with product/design/data/clinical teams, instrument metrics, and participate in on-call rotations to ensure reliable production systems.

Design, build, and maintain provider-facing web interfaces for clinical workflows. Own end-to-end frontend architecture, performance, accessibility, testing, observability, and reliability. Collaborate with product, design, data, and clinical teams, contribute to technical roadmap, and participate in on-call rotations to ensure production reliability.

Design, build, and operate Jellyfish's Databricks Lakehouse and data/AI platform. Build ingestion, transformation, and delivery pipelines; govern data with Unity Catalog; enable BI, agentic analytics, metadata, lineage, and observability. Provide technical leadership, set architecture and standards, mentor peers, and collaborate with cross-functional stakeholders to make Databricks the foundation for analytics and AI.

Lead technical strategy and architecture for Coinbase's Blockchain Platform, overseeing nodes, indexers, wallets, and asset lifecycle. Drive cross-team platform rearchitectures, enforce security and reliability standards, champion AI-driven automation, use observability to improve reliability, and represent the platform to executives to secure alignment and resources for large-scale blockchain infrastructure initiatives.

The Senior Platform Engineer will design, build, and maintain cloud infrastructure, backend services, and APIs, ensuring reliability and performance.

Build and operate Coinbase's LLM and agent platform: unified model gateway, AI Hub, secure microVM agent runtime, knowledge base integrations, AI FinOps, observability and evaluation tooling, and production-grade agent deployments with teams across the company.

Build and own the test harness and developer infrastructure for a stablecoin clearinghouse: integration tests, formal verification, chaos testing, CI/CD, dev environments, observability, and internal tools to ensure correctness, efficiency, and safe production deployments.

Design, implement, and maintain scalable infrastructure, automation, and internal platform services (monitoring, logging, alerting). Expand Kubernetes environment, enable engineering teams via IaC, GitOps, and secure cloud-hosting practices while solving reliability and scalability challenges.