Senior Site Reliability Engineer

fleetio

United States

Remote

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Fleetio is looking for a Senior Site Reliability Engineer to join its Platform Engineering team and scale the Ruby on Rails stack and infrastructure. You will own performance initiatives, improve reliability, and drive automation using AI-powered tooling.

You should bring deep expertise in SRE, observability, and DevOps, with a passion for optimization and scalable architectures to support a growing customer base.

Qualifications

  • Experience scaling Ruby on Rails applications.
  • Strong background in Site Reliability and infrastructure engineering.
  • Familiarity with Agile and DevOps practices.

Responsibilities

  • Proactively identify, triage, and resolve performance issues.
  • Enhance system observability across Ruby, Rails, and databases.
  • Build and maintain AI agents, skills, and automations to reduce toil.
  • Collaborate with Platform Engineering to meet reliability goals.

Skills

Ruby on Rails
Site Reliability Engineering
Observability
DevOps
AI in infrastructure

Tools

Prometheus
Grafana
Terraform

Job description

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation!

More about our team and company:

Fleetio overview video: https://www.youtube.com/watch?v=YoXyXTFWbkg

Our careers page:https://www.fleetio.com/careers

Description

Our Platform Engineering team is looking for a Senior Site Reliability Engineer to help run, maintain, and improve the performance of our Ruby on Rails Stack and Infrastructure. You will help scale our application using best in class architecture and software design. This includes training, software engineering, system design, and operational practices that support the needs of our engineers and customers while accounting for future growth. You will be entrusted with proactively identifying and owning initiatives that will help improve the performance, reliability, and scalability of our application stack and databases.

Our team treats AI as a core part of how we engineer. We build and use AI agents, skills, and automated workflows to handle toil, speed up investigation and remediation, and give our engineers more time for high-leverage work.

More About Our Team and Company

Watch our culture videos:https://fleet.io/culture

Engineering culture, interview process and videos: https://www.fleetio.com/careers/engineering

Fleetio Go overview video:https://www.fleetio.com/go

More about the Fleetio platform: https://www.fleetio.com/features

API docs: developer.fleetio.com

Test drive Fleetio to get an even better feel for what we're building: https://www.fleetio.com/register

This is a remote opportunity and is open to candidates in the United States.

Who You Are

Our ideal candidate is an Infrastructure Engineer experienced in scaling Ruby on Rails applications, with a passion for optimization and performance improvements. You bring a strong background in Site Reliability and Infrastructure Engineering for Rails applications. You follow Agile and DevOps principles, can effectively influence teams to achieve goals, and demonstrate excellent problem-solving skills in our fast-paced environment.

You're curious about how AI is changing infrastructure and reliability work, and you're eager to shape how a platform team puts it to use.

Your Impact

As a Senior Site Reliability Engineer on Fleetio's Platform Engineering team, you will:

  • Proactively identify, triage, and resolve performance issues
  • Enhance system observability by monitoring performance metrics across Ruby, Rails, and database systems, including SLOs and SLIs
  • Build and maintain AI agents, skills, and automations that reduce operational toil across incident response, triage, and routine maintenance
  • Use AI-
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