Top Senior Platform Engineer Jobs in NYC, NY

Build and scale platform infrastructure, backend services, cloud systems, CI/CD pipelines, and internal developer tooling. Own highly available production systems using TypeScript, PostgreSQL, AWS, Docker, and Kubernetes. Improve deployment workflows, observability, incident response, infrastructure automation, security, and system resiliency. Design APIs, event-driven workflows, queues, and integrations while partnering with product, engineering, and operations teams on scalable healthcare technology.

As a Senior Platform Engineer at Propel, you will improve cloud native platforms, manage Kubernetes and AWS applications, and enhance developer experience.

Lead design and delivery of an agentic AI platform: define architecture, standardize agentic workflows, build GenAI SDK/CLI, harden guardrails and observability, optimize orchestration and costs, own Helm/K8s operators for autoscaling, incubate RFCs and proofs of concept, and mentor engineering leaders while evangelizing platform practices internally and externally.

Design, build, and operate backend Go services and smart contracts that mint, burn, bridge, and reconcile wrapped assets across multiple chains. Own end-to-end delivery from smart contract deployment through API design, SLOs, and production rollout. Drive asset migration pipeline improvements, run on-call operations, build observability and runbooks, and mentor junior engineers.

Design and deliver blockchain network infrastructure and platform APIs, lead multi-quarter initiatives (chain integrations, re-architecture, data migrations), define APIs/SLOs/observability and on-call ownership, ship SDKs and platform primitives, establish data contracts, and simplify cross-chain operations to enable analytics, ML, and data engineering teams.

Build and maintain backend services and APIs powering LangSmith’s AI observability, tracing, monitoring, and evaluation workflows. Responsibilities include architectural design, high-volume data storage and query optimization, reliability engineering, testing, monitoring, alerting, production troubleshooting, root-cause analysis, documentation, and cross-functional feature delivery.

Lead architecture and implementation of LangSmith platform features across Go, Python, and TypeScript. Collaborate with product, design, customers, and internal stakeholders to deliver scalable observability and evaluation capabilities. Write clean, tested code, design high-performance APIs, work with Postgres and Redis, and drive rapid project execution. The role requires strong fullstack engineering, communication, ownership, and customer engagement skills.

Lead design and implementation of the Tax platform: build scalable, fault-tolerant systems, improve extensibility, mentor engineers, drive technical strategy and roadmap, collaborate cross-functionally, improve reliability/incident response, and build AI guardrails to safely leverage agentic LLMs for tax compliance.

Lead design, build, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, observability, and optimization. Partner with cross-functional teams to deliver scalable, performant, and responsible generative AI platform services and contribute to long-term technical vision and roadmap.

Design and build production-grade backend services and APIs for contact center systems using serverless patterns on AWS. Implement observability, data pipelines, AI-enabled automation, and migration tooling to modernize telephony workflows and improve agent and customer experiences.

The Senior Platform Engineer will manage and enhance the platform's infrastructure, focusing on running autonomous agents securely and efficiently in cloud environments, while ensuring compliance and reliability.

The Senior Platform Engineer at EDO will focus on enhancing internal platform capabilities using AWS services, Terraform, and improving team workflows to ensure reliable and efficient infrastructure.

Lead the technical strategy for Coinbase's Data Platform, architecting data systems for AI/ML workloads and ensuring data reliability, performance, and cross-functional alignment.

Own and operate product platform services, libraries, schemas, APIs, and developer tooling. Design scalable, reliable, secure system interactions; improve monitoring, testing, and operational signal; reduce engineering toil through reusable abstractions and automation; and partner with product, data, and infrastructure teams. The role spans identity, access, shared services, data flows, messaging, and cloud-native systems in a greenfield environment.

Own the architecture, deployment, performance, and reliability of Stickerbox’s production machine learning pipeline. Optimize latency, cost, batching, caching, GPU utilization, model serving, and inference across image generation, speech recognition, and character models. Lead deployment strategies, capacity planning, observability, safety enforcement, automated quality checks, migrations, release engineering, and on-call operations for a global consumer hardware launch.

Design, implement, and maintain scalable experimentation platform services. Collaborate with engineers, PMs, and privacy/security/SRE partners to deliver reliable, diagnosable features, participate in on-call rotations, and improve tooling, telemetry, and automation to support large-scale A/B testing and AI product experimentation.

Design, build, and operate secure, scalable AWS cloud platforms using IaC (Terraform), Kubernetes/EKS, and automation. Implement SRE practices, build reusable platform tooling (Python/Go), integrate security and compliance, improve observability and incident response, and collaborate with architecture, security, and application teams to support production environments.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

The Senior Lead AI Engineer will develop AI software components, partner with cross-functional teams, and contribute to AI system optimization. Key responsibilities include model training, deployment, and leveraging AI technologies to enhance banking services.

The Senior Platform Engineer will design and build a developer platform, define service architecture, manage CI/CD systems, and promote infrastructure as code to enhance system scalability and engineer efficiency.

Lead backend engineering for CrowdStrike's Asset Platform building cloud-native, microservice distributed systems at scale. Design and ship production code, optimize scalability, concurrency and performance, mentor engineers, collaborate across teams, apply engineering best practices and leverage AI to improve decision-making and workflows.

Build, operate, and automate Braze’s internal Infrastructure-as-a-Service and large-scale background processing frameworks. Collaborate with product teams to design scalable, observable systems, improve reliability via automation, and own scaling, failure modes, and operational safety. Implement tooling for capacity management, observability, and developer ergonomics. Participate in on-call rotation, incident response, and post-incident retrospectives to drive continuous improvement.

Senior Microsoft 365 Platform Engineer to lead design, implementation, governance, and Tier 3/4 support for M365 (Exchange, SharePoint, Teams, Entra ID, Intune, Purview, Power Platform). Drive roadmap, data governance, security/compliance controls, automation, and enterprise adoption while mentoring engineers and partnering with Security, Legal, and business stakeholders.

Own and scale Nomic's infrastructure stack across multi-account AWS and Kubernetes: rollout orchestration, inference performance (GPU/model serving), CI/CD, IaC, observability, security, disaster recovery, and cost management to support many customer environments at scale.

Designs, deploys, secures, scales, and monitors highly available cloud and on-premises infrastructure across AWS, Google Cloud, and Azure. Manages automation, integration tiers, certificates, HSMs, networking, containers, CI/CD, and cloud security compliance. Troubleshoots complex infrastructure issues, establishes architecture and deployment standards, guides application teams, leads infrastructure projects, and provides technical training and cross-functional collaboration. Requires 24x7x365 on-call availability.