Senior Site Reliability Engineer

RapidSOS

Remote, United States
Base: $160,000 - $195,000; bonus/equity: eligible ...
Fully remote
5+ years professional engineering experience
Deep expertise in python programming
Real cloud infrastructure experience with aws
RapidSOS is seeking a Senior Site Reliability Engineer to enhance the performance and stability of its emergency response technology. The ideal candidate will have extensive experience in cloud infrastructure, Kubernetes, and distributed systems, with a focus on driving reliability and observability in high-stakes environments

Job Summary

  • RapidSOS is the leading public safety AI company that unlocks mission-critical intelligence for first responders and security teams.
  • This role involves owning the performance and stability of services that operate at scale in real-world, high-stakes environments where reliability directly impacts real-world outcomes.
  • The position offers competitive salary, equity participation, and the chance to work with a passionate team on solving one of the largest challenges globally.

Matching Summary

Match Score: 85

RapidSOS is seeking a Senior Site Reliability Engineer to enhance the performance and stability of its emergency response technology. The ideal candidate will have extensive experience in cloud infrastructure, Kubernetes, and distributed systems, with a focus on driving reliability and observability in high-stakes environments.

Salary

Base: $160,000 - $195,000; Bonus/Equity: Eligible for equity options; Benefits: Competitive benefits package

Skills & Requirements

Must-have

  • 5+ years professional engineering experience
  • Deep expertise in Python programming
  • Real cloud infrastructure experience with AWS
  • Hands-on Kubernetes experience in production
  • Strong understanding of distributed systems failure modes
  • Experience operating high-throughput messaging systems

Nice-to-have

  • Experience supporting production systems in on-call capacity
  • Hands-on with Datadog APM and alerting tools
  • Experience with ArgoCD-based GitOps deployments
  • Comfortable modernizing legacy CI/CD pipelines
  • Demonstrable experience using AI to enhance velocity
  • Ability to collaborate in-person a few times per quarter

Key Requirements

  • 5+ years of professional engineering experience
  • Deep expertise in Python
  • Hands-on Kubernetes experience
  • AWS cloud infrastructure experience
  • Collaboration in-person a few times per quarter

Work Rights

Not specified

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