Top Platform Engineer Jobs in NYC, NY

As a Platform Engineer, you will build scalable systems, enhance performance, mentor junior engineers, and lead system design initiatives, focusing on efficient document processing.

Build and maintain an internal self-service developer platform that enables engineers to provision infrastructure, deploy applications, manage secrets, and automate CI/CD. Create reusable platform services, observability, and developer workflows, champion IaC and GitOps, and partner with product teams to improve developer productivity and reliability.

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.

Build, automate, and support cloud infrastructure for enterprise applications. Develop infrastructure-as-code solutions, standardized platform patterns, and self-service capabilities. Use AWS, containerization, observability, and automation tools to improve reliability, scalability, deployments, and developer experience while collaborating with engineering and platform teams.

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.

Design, build, and operate distributed platforms, backend services, APIs, and data systems to support quantitative research, large-scale simulations, AI applications, and analytics. Improve performance, reliability, and scalability while collaborating with researchers to productionize research workflows.

Design, build, and operate Zocdoc's internal developer platform, CI/CD pipelines, and developer tooling to improve developer productivity, safety, and reliability. Collaborate across teams to deliver platform investments end-to-end, drive adoption, advance AI-assisted development capabilities, mentor engineers, and ensure platform patterns meet security and compliance requirements.

The Platform Engineer manages third-party integrations, supports the integration lifecycle, enhances operations, and ensures secure data flows while liaising between technical teams and partners.

Lead technical ownership and strategic direction of the enterprise Snowflake platform. Advise architecture and application teams, ensure compliance for regulated workloads, drive adoption of advanced Snowflake features including AI/Cortex, optimize cost and performance, mentor engineers, partner with vendor and stakeholders, and lead platform readiness, integrations, and community enablement.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

Build and improve Radar's data infrastructure with a focus on customer feedback and successful implementation. Engage with customers to enhance their experience and deploy new solutions.

The Client Platform Engineer will manage endpoint solutions across various platforms, ensuring operational excellence, compliance, and optimal user experiences while implementing enterprise tools and automation processes.

As a Backend Engineer, you will develop scalable systems, optimize performance, mentor junior engineers, and lead critical projects at Hebbia's Agent Collaboration platform.

Lead design, build, and operation of a cloud-based VDI platform (Ubuntu and Windows 11). Own cloud infra, Teleport and Okta integration, image pipelines (Packer), config management (Chef/Ansible/Terraform), security agent bake-in, audit logging/SIEM, cost governance, testing, patch cadence, runbooks, and incident response for a production VDI fleet.

The Senior Software Engineer will deploy new Synthetics locations, develop tooling for management, automate migrations, and support architecture decisions for Synthetics products on cloud infrastructure.

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.

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, and operate high-performance Linux platforms for low-latency electronic trading. Perform kernel- and hardware-level performance engineering, write production automation, architect containerized and immutable deployment models, drive AI-assisted engineering adoption, and mentor cross-functional teams while governing engineering decisions and vendor relationships.

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.

Design and build next-generation ads formats, backend infrastructure, and scalable distributed systems. Lead technical direction, collaborate across teams to define product requirements, experiment, analyze and optimize ad performance, and ensure availability, scalability, operational excellence, and cost management. Mentor engineers and apply AI tools and high-velocity workflows to deliver production-ready systems.

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.

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.

Hands-on technical lead designing, building, and optimizing high-performance Linux compute platforms for low-latency electronic trading. Responsibilities include kernel- and hardware-level performance tuning, containerization, IaC and CI/CD design, automation and tooling development, vendor interfacing, AI-assisted engineering governance, and mentoring cross-functional engineering teams to deliver reliable, low-latency infrastructure.

Own and evolve a Kubernetes-native test framework that qualifies host images on real hardware. Build test harnesses, extend coverage into HPC, Slurm-on-Kubernetes and firmware/hardware, keep CI fast and reliable at fleet scale, and own results, reporting, and triage. Collaborate with kernel, firmware, imaging, and HPC teams and explore LLM-driven log triage and failure classification.