Top Engineering Jobs in New York City, NY

Architect scalable, resilient video player workflows for linear channels, live events, and VOD across global streaming platforms. Define player APIs, interface contracts, performance and security requirements, ad experiences, and third-party integrations. Collaborate with engineering and product teams on prototypes, testing, rollout plans, architecture reviews, documentation, and best practices. Apply expertise in playback frameworks, streaming protocols, video formats, DRM, and OTT delivery across web, mobile, connected TV, consoles, and set-top boxes.

Lead design and governance of SAP SuccessFactors architecture for a greenfield Employee Central implementation. Define technical strategy, manage integrations, guide engineering teams, apply clean-core principles, and mentor technical staff while ensuring scalable, secure, and simplified solutions aligned to business goals.

Lead architecture and implementation of a Kubernetes-native platform for broadcast production: design Crossplane-based provisioning, build Go operators/controllers, automate AWS multi-account networking, integrate Puppet-managed bare-metal, own RBAC/identity, drive GitOps CI/CD, observability, VDI and security integrations, and mentor engineers.

Lead architecture and delivery of NBCUniversals digital workplace platform across Microsoft 365, endpoint management, and enterprise AI. Define technical vision, SRE practices, AI governance, and drive global modernization, automation, and stakeholder alignment to improve employee productivity and reliability.

Leads automation engineering for NBCUniversal’s data collaboration platform. Designs AI agents, RAG workflows, reusable tools, APIs, and production-grade Python services supporting audience activation, measurement, and reporting. Establishes agent evaluation, monitoring, reliability, testing, and safety standards. Oversees clean room libraries and scalable data workflows while partnering across product, engineering, operations, and data platform teams. Hires, mentors, and develops software and AI engineers and drives technical direction, maintainability, and operational excellence.

Design, develop, and maintain high-performance Go-based software supporting VOD, live events, linear streaming, dynamic ad insertion, and manifest manipulation. Build highly available, fault-tolerant services across multi-region and multi-CDN environments. Partner with SRE, use observability and performance analytics for troubleshooting, contribute to architecture and technical direction, and collaborate with globally distributed engineering teams.

Source, aggregate, and manage geospatial data (imagery, vector, point clouds) for AI/ML pipelines. Build automation and preprocessing tools (e.g., GDAL, Python) to align, reformat, and postprocess datasets. Partner with AI/ML, pipeline, and product teams to ensure data quality, coverage, and readiness for model development and region rollouts.

Build and maintain geospatial data sourcing and automation for AI/ML pipelines. Research and acquire imagery, vector, and point cloud data; preprocess, align, and reformat datasets using open-source tools. Partner with AI/ML, pipeline, and product teams to supply diverse, high-quality geospatial data and contribute to internal tooling and data postprocessing.

Design and deliver reusable paved paths (documentation, IaC modules, templates, libraries, and tools) to simplify cloud-native development. Partner with architects and platform teams to translate patterns into adoptable implementations, iterate based on feedback, and evolve AI-assisted developer workflows to improve developer experience and accelerate delivery.

Build and maintain high-performance services (primarily Go) that deliver VOD, live, and linear streaming at global scale. Design resilient, multi-region, multi-CDN systems, partner with SRE on availability and observability, perform code reviews, and drive architecture and performance analytics for streaming workflows including dynamic ad insertion and manifest manipulation.