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Senior Platform Engineer (Infrastructure)

AI Summary
Fleetio is seeking a Senior Platform Engineer to improve the availability, scalability, performance, and operational reliability of its Ruby on Rails platform. The role owns cloud infrastructure, Kubernetes, Terraform-based infrastructure as code, observability, and production incident response. The engineer will partner closely with feature teams, review code for performance risks, and support safe, efficient deployments. Candidates need strong AWS and Kubernetes experience, cloud networking knowledge, application performance expertise, and effective written and verbal communication. This is a US-remote senior infrastructure role in a fast-moving product engineering environment.
Remote from
USA
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
12 Dec 2026
Listing views
34
Application actions
1
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Opportunity details

About this role.

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:

We’re looking for a Senior Platform Engineer to join our growing Platform Engineering team. This role will have a direct impact on our customers, our engineers, and our business by ensuring our applications are highly available, scalable, and performant.

At Fleetio, we foster a culture of ‘Product Engineers’, where we value and prioritize engineers who enjoy being part of the product discovery process. Our Engineering and Product teams are structured as autonomous PODs that execute within one focal area toward a defined product vision. We strive to deliver easy-to-use software, and our goal as engineers is to quickly and continuously deliver meaningful value to our customers. We’ve optimized our CI/CD tools and processes to easily get code into our production environments, resulting in an average of 40 deploys per week.

Fleetio is a modern software platform that helps thousands of organizations around the world 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 Series D 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

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.

Your Impact

As a Senior Platform Engineer on Fleetio’s Platform Engineering team, you will:

  • Manage cloud infrastructure using Infrastructure as Code
  • Manage and scale a Ruby on Rails stack
  • Implement monitoring tools to improve observability
  • Perform code review of new features to ensure they meet performance requirements
  • Debug production issues across all levels of the stack
  • Plan for the growth of, optimize, and automate Fleetio’s Infrastructure
  • Partner with feature engineering teams to help them build, deploy, and operate their features safely and efficiently
  • Respond to reliability and security incidents, from triage and mitigation through post-incident follow-up

Your Experience

  • 5+ years of AWS Experience
  • 3+ years Kubernetes Experience
  • Infrastructure as Code tools (Terraform)
  • Deep understanding of cloud network fundamentals (routing, firewalls, load balancers, CDNs, VPCs, etc.)
  • Experience with Ruby on Rails or an equivalent web application framework
  • Expert at 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 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
  • Experience using AI tools to automate repetitive work and accelerate infrastructure projects

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 #LI-Remote

Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need.

This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will.

If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThis is a senior-level platform role requiring deep hands-on expertise across AWS, Kubernetes, Terraform, networking, Rails performance, observability, and incident management. The high deployment cadence and responsibility for production reliability create substantial technical and operational complexity.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$180,000
US market range (per year)$155k–$205k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer base salary was disclosed. The yearly period is inferred from the senior full-time US engineering context. Estimated US market compensation for a Senior Platform Engineer with AWS, Kubernetes, Terraform, and reliability engineering expertise is approximately $155,000-$205,000 annually, with an estimated midpoint of $180,000.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach scaling a Ruby on Rails application experiencing increased latency under peak traffic?

I would first establish a baseline using APM traces, infrastructure metrics, logs, and database telemetry. I would identify the primary bottleneck, such as inefficient queries, application contention, cache misses, background-job saturation, or load balancer constraints, then prioritize targeted improvements. I would validate changes through load testing, monitoring, and a safe staged rollout.

Describe how you would structure Terraform for a multi-environment AWS platform.

I would use reusable modules for common components such as networking, Kubernetes, IAM, databases, and monitoring integrations. Separate environment configurations and remote state would keep development, staging, and production isolated while preserving consistent standards. I would also implement plan review, automated validation, controlled applies, and clear ownership for high-risk infrastructure changes.

What metrics and signals are most important for operating a reliable Kubernetes-based service?

I would monitor service-level indicators such as availability, latency, error rate, and saturation, alongside cluster health indicators such as node capacity, pod restarts, scheduling failures, resource requests, and network errors. Application-level metrics, distributed traces, logs, and deployment events are necessary to connect infrastructure symptoms to customer impact. Alerts should be actionable and mapped to documented response procedures.

How do you handle a production incident involving elevated error rates after a deployment?

I would confirm customer impact, declare the incident, and assess whether a rollback or traffic mitigation is the fastest safe action. I would coordinate communication, use dashboards and logs to isolate the failing component, and apply a controlled remediation. After recovery, I would lead or contribute to a blameless post-incident review with concrete follow-up actions to prevent recurrence.

How do you help feature engineering teams make better reliability and performance decisions?

I partner early in design discussions to clarify capacity, failure modes, observability, security, and operational ownership. During code and architecture reviews, I provide specific recommendations supported by performance data and practical implementation options. I also create reusable platform tooling and documentation so teams can deploy and operate services safely with less friction.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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