Senior Software Engineer — AI-Driven Autonomous Ops

Datadog, Inc.

Paris (KY)

Hybrid

USD 140,000 - 170,000

Full time

11 days ago
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Benefits offered by this job

RSUs
ESPP
Professional development
Mentor program
Inclusion talks
Mental health benefits
Competitive benefits

Job summary

Datadog is seeking a Senior Software Engineer to design and scale our foundational architecture in the Autonomous Ops & Maintenance team. You will synthesize data into knowledge, engineer AI-driven components, and build reliable systems for automated modifications.

The role blends research and production, owning features end-to-end, tackling ambiguous problems, and ensuring reliability and observability in multi-tenant environments. Hybrid work culture at Datadog supports work-life harmony.

Qualifications

  • 6+ years of experience in software engineering.
  • BS/MS/PhD in a scientific field or equivalent experience.
  • Proficiency in Go.
  • Comfort building and operating production services end to end, owning features and components.
  • Experience with large-scale distributed systems.
  • Experience using AI coding tools in day-to-day workflows and validating AI output.
  • Bonus: Kubernetes, workflow orchestration, or AI agents.

Responsibilities

  • Lead a greenfield initiative from inception to scale, shaping foundational product architecture and engaging with users to refine concepts.
  • Build mission-critical solutions that customers depend on daily.
  • Build fault-tolerant, horizontally scalable solutions in multi-tenant environments.

Skills

Go
Distributed systems
AI tooling usage
End-to-end ownership

Education

BS/MS/PhD in a scientific field

Tools

Kubernetes
Workflow orchestration
AI agents

Job description

Datadog is seeking a Senior Software Engineer to design and scale our foundational architecture in the Autonomous Ops & Maintenance team. You will synthesize data into knowledge, engineer AI-driven components, and build reliable systems for automated modifications.

The role blends research and production, owning features end-to-end, tackling ambiguous problems, and ensuring reliability and observability in multi-tenant environments. Hybrid work culture at Datadog supports work-life harmony.

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