Note: The job is a remote job and is open to candidates in USA. Fleetio is hiring a Senior Platform Engineer to run, maintain, and improve the performance, reliability, and scalability of its Ruby on Rails stack and infrastructure. The role focuses on performance optimization, database operations, observability, and AI-driven automation that supports engineering and operational workflows.

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

Skills

• 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
• 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
• 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)
• Vision insurance
• Incentive stock options
• 401(k) match of 4%
• PTO - 4 weeks (increases at year two!)
• 12 company holidays + 2 floating holidays
• Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid)
• FSA & HSA options
• Short and long term disability (short term 100% paid)
• Community service funds
• Professional development funds
• Wellbeing fund - $150 quarterly
• Business expense stipend - $125 quarterly
• Mac laptop + new hire equipment stipend
• Fully stocked kitchen with tons of drinks & snacks (BHM only)
• Remote working friendly since 2012

Company Overview