Senior Platform Engineer

Fleetio, a leading fleet management software company, as a Senior Site Reliability Engineer. In this role, you will be responsible for maintaining and improving the performance of our Ruby on Rails stack and infrastructure. You will proactively identify and address performance issues, enhance system observability, and collaborate with other SREs to optimize performance. Additionally, you will lead database capacity planning and upgrade initiatives, manage disaster recovery planning, and oversee backup systems. This position offers a competitive salary, comprehensive benefits, and opportunities for professional development.

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

Responsibilities

• Proactively identify, triage, and resolve performance issues, and enhance system observability.
• Build and maintain AI agents, skills, and automations that reduce operational toil across incident response, triage, and routine maintenance.
• Lead database capacity planning and upgrade initiatives, and manage the database-specific components of disaster recovery planning and execution.
• 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
• Effective at code review and identifying potential performance problems before they reach production

Requirements

• Experience with profiling and benchmarking source code
• Excellent written and verbal communication skills
• 3+ years of AWS Experience
• 5+ years of Ruby/Rails Experience

Preferred

• Experience with Datadog or other APM tools
• Kubernetes 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)

• 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
• Deep understanding of cloud network fundamentals (routing, firewalls, load balancers, CDNs, VPCs, etc.)