Top Engineering Jobs in New York City, NY

Lead design and implementation of LLM observability features: prototype and scale product capabilities for tracing, evaluating, and debugging generative AI systems. Work cross-functionally to influence architecture, mentor engineers, prioritize customer pain points, and drive product and engineering decisions for reliable, high-performance AI observability.

Partner with Field and Product teams to design and implement LLM observability architectures, build proofs-of-concept, produce technical collateral, and advise customers to drive adoption and product feedback.

Lead one to two squads building Datadogs Experimentation App. Mentor full-stack and frontend engineers, own delivery from planning to production, set technical direction with statisticians, partner with Product/Design/customers, enforce high engineering standards, and recruit and grow the team.

Design and implement Datadog's Rust-based streaming client libraries and their interactions with the control plane. Optimize high-throughput, low-level streaming code for performance, reliability, and observability. Support and document developer experience, lead cross-team technical projects, and mentor junior engineers and interns.

Lead a polyglot engineering team to define and deliver serverless APM across AWS, Azure, and GCP. Drive auto-instrumentation, OpenTelemetry and Datadog integration, expand managed-service tracing coverage, partner with product, and ensure excellent developer experience and reliable APIs.

Lead a small engineering team building internal change-management platforms (UI, CLI, notification/subscription systems, workflows, governance). Set technical direction, partner with infrastructure and product teams, drive adoption and reliability, remain hands-on to unblock work, and run OKR and career/performance processes to align the team with business goals.

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

Lead multiple engineering teams building alerting, event management, monitor creation, and AI-powered detection systems. Define technical and organizational strategy, scale highly available platform systems, partner with Product/Design/Applied Science, mentor engineering managers, and drive customer-focused detection experiences and operational excellence.

Lead a small engineering team to build and manage the Core Analytics Data Access Platform, ensuring data security, scalability, and collaboration with AI and analytics teams.

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.