Senior Observability Engineer — AI‑Driven Reliability & SRE

FanDuel

Atlanta (GA)

Hybrid

USD 149,000 - 186,000

Full time

14 days+

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Benefits offered by this job

Medical, vision, and dental insurance
401(k) matching program
Paid personal time off

Job summary

FanDuel in Atlanta, Georgia is seeking a Senior Observability Engineer to design and enhance the observability ecosystem that supports our platform. This hands-on role involves collaboration with engineering and product teams to deliver scalable observability capabilities and improve system reliability.

The ideal candidate will have experience in observability engineering and tools like Datadog, with the ability to influence technical decisions and enhance monitoring practices across teams.

Qualifications

  • Solid hands-on experience in observability engineering or related roles.
  • Strong expertise in monitoring and observability with tools like Datadog.
  • Experience with Kubernetes and cloud infrastructure (AWS).

Responsibilities

  • Contribute to the observability strategy and roadmap.
  • Design scalable observability solutions for actionable insights.
  • Collaborate to improve system reliability and incident management.

Skills

Monitoring and observability practices
Kubernetes
AWS
Infrastructure as code (Terraform)
Programming (Go, Java, Python, TypeScript)
Analytical and problem-solving skills
Collaboration with stakeholders

Education

Hands-on experience in observability engineering, SRE, or platform engineering
Experience implementing SLOs and SLIs

Tools

Datadog
PagerDuty
Ansible
Helm

Job description

FanDuel in Atlanta, Georgia is seeking a Senior Observability Engineer to design and enhance the observability ecosystem that supports our platform. This hands-on role involves collaboration with engineering and product teams to deliver scalable observability capabilities and improve system reliability.

The ideal candidate will have experience in observability engineering and tools like Datadog, with the ability to influence technical decisions and enhance monitoring practices across teams.

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