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!
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.
✅ Key Responsibilities
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
📌 Required Qualifications
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
⭐ Desirable Experience
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
🎁 Benefits
Multiple health/dental coverage options (100% coverage for employee, 50% for family)
Please let Fleetio know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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