Top Engineering Jobs in New York City, NY

Leads Datadog’s global Graphing and Data Visualization engineering organization, setting technical and organizational strategy across graphing, dashboards, notebooks, search, and AI-powered interfaces. The role develops engineering leaders, partners with Product and Design, guides performant visualization platforms, and advances agent-based experiences for creating and exploring complex data.

Design, build, and operate multi-region, multi-cloud network infrastructure across AWS, GCP, and Azure. Own cloud-to-cloud and customer connectivity, troubleshoot latency/packet-loss via pcap and path analysis, set technical direction for network expansion, improve cross-region connectivity, and identify network cost and efficiency improvements while participating in incident response and on-call rotation.

Leads an engineering team building Datadog’s Reference Tables platform, including its UI, MCP, APIs, control plane, metadata, permissions, validation, quotas, and lifecycle services. Defines technical direction and roadmap with product and engineering leaders, drives reliable large-scale distributed systems, establishes engineering practices, mentors engineers, and supports mission-critical infrastructure with 24x7 on-call operations.

Leads engineering teams responsible for Datadog Agent developer experience, build systems, correctness, performance benchmarking, and software supply-chain security. Evolves SDLC practices for a complex multi-language, multi-platform open-source project, including AI coding enablement, CI/CD, build infrastructure, testing, and reliability. Hires, mentors, and develops engineering managers and staff engineers across global teams while balancing velocity, security, and long-term platform investments.

Designs, deploys, and operates resilient network infrastructure across global offices, including LAN, Wi-Fi, routing, switching, firewalls, automation, observability, and security. Leads architecture, RFCs, design reviews, migrations, incident response, root-cause investigations, and production readiness. Evaluates technologies and vendors, owns network service health and lifecycle, partners cross-functionally, mentors engineers, and improves reliability, operational standards, documentation, and change safety.

Serve as the primary technical contact for technology partners, advising on integrations involving APIs, OAuth, log pipelines, OpenTelemetry, and MCP. Lead architectural and code reviews, troubleshoot complex technical issues, coordinate joint integration roadmaps, support Datadog Marketplace launches, improve developer experience, maintain documentation, and monitor AI/ML and data-platform trends.

Leads the Database Monitoring engineering organization, owning product strategy, roadmap, AI feature development, market expansion, customer adoption, and commercial outcomes. Builds and scales engineering teams across geographies by hiring, mentoring, coaching, and structuring engineering managers and staff engineers. Partners with Product and customers to refine experiences, achieve product-market fit, and deliver measurable value. Requires experience deploying applications on PostgreSQL.

Lead the design and delivery of next-generation frontend technology at Datadog. Responsibilities include coaching engineers, leading major product and website redesigns, owning core customer experiences, coordinating cross-team technical initiatives, and developing high-complexity, high-performance interactive browser applications. The role requires strong UI/UX judgment, experimentation expertise, architectural leadership, and deep React experience.

Software Engineering Interns contribute to Datadog’s observability and security platform by building and improving backend, frontend, infrastructure, data engineering, and developer tooling systems. Responsibilities include developing distributed and cloud-native services, addressing performance and scalability challenges, delivering technical projects from design through deployment, and collaborating with experienced engineers and mentors.

Lead design and delivery of Datadog implementations: gather requirements, build technical architecture, write deployment automation, manage implementation projects, and guide customer onboarding and launches.