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Software Engineer

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Senior Software Engineer

Reddit - 4d ago

Senior AI Engineer - CD Visibility

AI Summary ✨

Requirements

  • A Product-minded engineer who ships AI to production
  • 5+ years experience with backend systems and microservices performance: tracing, latency breakdowns, concurrency, and resiliency patterns
  • Proficient in a modern programming language; strong API/service design; production ops (monitoring, alerting, on-call rotation)
  • Proven experience delivering LLM/agent features to production
  • Comfortable owning user journeys, iterating from prototype → alpha → GA, and measuring impact with clear product metrics
  • End-to-end AI implementation owner: Understands the end-to-end LLM product lifecycle
  • Fluent with offline/online evals for AI systems

What you'll be doing

  • Build AI-driven deployment gates: Design and ship decision systems that evaluate customer deployments using CI/CD context and Datadog telemetry, producing safe, explainable allow/block outcomes
  • Own evals and rollout: Define precision, recall, and trust metrics; build offline and online evals; validate changes in shadow mode; and safely promote improvements to enforcement
  • Design for robustness and safety: Implement conservative defaults, guardrails, fallbacks, and human-in-the-loop paths so gates behave predictably under noisy or incomplete data
  • Partner closely with Product: Work hand-in-hand with the Product Manager to translate customer problems, adoption signals, and roadmap goals into concrete technical decisions and iterations
  • Integrate across the Datadog platform: Partner with internal AI teams building the Faulty Deployment Detection pipeline, as well as teams working on LLMs and AI agents
  • Own production systems: Build and operate reliable backend services that run in the critical path of customer deployments, and be on-call for those services

Nice to haves

  • Experience with Continuous Delivery tools (i.e. ArgoCD / Argo Rollouts, Spinnaker, Octopus Deploy)
  • Exposure to planning/agent frameworks, tool-use orchestration, RAG, and retrieval/indexing for observability data

Perks and benefits

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development, product training, and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks, our Internal panel discussions
  • Free, global mental health benefits for employees and dependents age 6+
  • Competitive global benefits
Apply here
Datadog logo

Datadog

Spain

Experience: Senior
Posted: January 27, 2026
backend

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