Senior Site Reliability Engineer
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-assisted tooling to accelerate performance analysis, root-cause investigation, and code review
Collaborate with other SREs to proactively identify and address performance bottlenecks
Help product engineers adopt AI-driven workflows for performance and reliability best practices
Lead database capacity planning and upgrade initiatives
Manage the database-specific components of disaster recovery planning and execution
Oversee backup systems and pre-production databases
Create and maintain infrastructure and operations documentation, including runbooks and context that both engineers and AI agents can act on
Participate in the on-call rotation
Your Experience
5+ years of Ruby/Rails Experience
3+ years of AWS Experience
Kubernetes experience
Experience with profiling and benchmarking source code
Effective at code review and identifying potential performance problems before they reach production
Experience with Datadog or other APM tools
Excellent written and verbal communication skills
Considered a Plus
Experience building AI agents, LLM-powered automations, or integrations (e.g., using tool/function calling or MCP) for engineering or operations workflows
Infrastructure as Code tools (Terraform)
Deep understanding of cloud network fundamentals (routing, firewalls, load balancers, CDNs, VPCs, etc.)
Experience with distributed event and data stores, such as Kafka, Redis, Elasticsearch, Memcached, and TimescaleDB
You know a thing or two about the fleet management industry