Top Engineering Jobs

Design and develop AI-assisted tools for software development, working closely with designers, PMs, and data scientists, and iterating based on user feedback.

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 a team building production systems for code understanding and automated code changes. Drive technical direction, partner cross-functionally, maintain evaluation/monitoring pipelines, ensure production readiness (on-call, SLIs/SLOs, postmortems), own hiring and career growth, and uphold engineering rigor for data pipelines, model inputs, reproducibility, and CI/CD.

Lead design and execution of scalable log ingestion, search, and query systems. Partner with product and customers to define features, prototype AI-powered capabilities, optimize pipeline performance, and mentor engineers to grow a high-performing team.

The role involves developing AI-assisted product experiences for Datadog by building systems for chat, remediations, and codefixes, alongside collaboration with cross-functional teams to enhance user outcomes.

As a Senior Backend Engineer in Product Analytics, you will design, build, and maintain backend systems, and influence technical architecture while collaborating with other teams to ensure scalability and reliability of data processing systems.