Staff Software Engineer - Logs Management

Datadog Datadog · Enterprise · New York, NY · Dev Eng

Staff Software Engineer role focused on Datadog's Logs organization, involving complex initiatives in ingestion pipelines, search infrastructure, and intelligent log management capabilities. The role emphasizes using AI and distributed systems to redefine how customers ingest, query, and derive insights from logs data, with opportunities to lead technical strategy and explore AI-powered capabilities.

What you'd actually do

  1. Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers
  2. Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale.
  3. Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities.
  4. Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture

Skills

Required

  • architecting and scaling backend systems
  • data-intensive or distributed infrastructure
  • ambiguous environments
  • debugging complex systems
  • optimizing performance across real-time data pipelines
  • using AI agents tools in your day-to-day engineering practices
  • using AI coding tools in day-to-day workflows
  • validate, critique, and refine AI-generated output

Nice to have

  • push the boundaries of how AI can improve software engineering best practices
  • contribute to building AI-enabled

What the JD emphasized

  • AI-powered log management
  • AI agents tools
  • AI coding tools
  • AI can improve software engineering best practices

Other signals

  • AI-powered log management
  • AI agents tools
  • AI coding tools
  • AI can improve software engineering best practices