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# Senior Platform Engineer

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/fleetio.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUndisclosedDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished15 Oct 2026Apply before14 Nov 2026Listing views48Application actions4Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Fleetio is seeking a Senior Platform Engineer to improve the performance, reliability, scalability, and operational maturity of its Ruby on Rails application platform. The role centers on Rails and database performance, AWS and Kubernetes infrastructure, observability, capacity planning, disaster recovery, and on-call operations. The engineer will proactively resolve bottlenecks, maintain runbooks and backup systems, and partner with SREs and product engineers on reliability practices. A major component is building and adopting AI agents and automated workflows to reduce operational toil and accelerate incident investigation. This is a remote, US-only senior individual-contributor role in a fast-growing fleet-management software company.

## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

4/5IndependentCollaborative

AI insightThis is a senior infrastructure role requiring deep hands-on expertise across Ruby on Rails performance, databases, cloud infrastructure, Kubernetes, observability, and reliability engineering. The expectation to independently lead capacity, disaster-recovery, and AI-automation initiatives increases the technical breadth and ownership required.

## Salary analysis

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

Estimated job median (per year)Highly competitive$180,000US market range (per year)$150k–$210k0$231.00k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. For a US-based Senior Platform Engineer with Rails, AWS, Kubernetes, database performance, SRE, and on-call responsibilities, the estimated annual market range is $150,000–$210,000 USD, with an estimated midpoint of $180,000 USD. The yearly cadence is inferred from the full-time senior US professional role and standard market convention.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Ruby on Rails](https://jobicy.com/jobs?search_keywords=Ruby%20on%20Rails.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Infrastructure Engineering](https://jobicy.com/jobs?search_keywords=Infrastructure%20Engineering.md)[Database Performance Tuning](https://jobicy.com/jobs?search_keywords=Database%20Performance%20Tuning.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Datadog](https://jobicy.com/jobs?search_keywords=Datadog.md)[Performance Profiling](https://jobicy.com/jobs?search_keywords=Performance%20Profiling.md)[Capacity Planning](https://jobicy.com/jobs?search_keywords=Capacity%20Planning.md)[Disaster Recovery](https://jobicy.com/jobs?search_keywords=Disaster%20Recovery.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[AI Agents](https://jobicy.com/jobs?search_keywords=AI%20Agents.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)

Sample interview questionsHow would you investigate a persistent performance degradation in a Ruby on Rails application?I would first validate the user impact and isolate the affected endpoints using APM traces, error rates, latency percentiles, and infrastructure metrics. I would correlate the timing with deployments, database load, queue depth, cache behavior, and external dependencies, then profile the relevant code and queries. After identifying the bottleneck, I would implement and test a targeted mitigation, monitor the result, and document the incident and preventive actions.

Describe your approach to database capacity planning for a growing SaaS platform.

I start by establishing baselines for storage growth, query volume, connection utilization, CPU, memory, IOPS, replication lag, and backup duration. I model expected demand using product growth and workload patterns, define operational thresholds, and plan scaling or upgrade work before risk becomes urgent. I also review indexing, query efficiency, archival policies, failover procedures, and restoration tests so capacity planning supports both performance and recoverability.

How have you used infrastructure as code to improve platform reliability?

I use infrastructure as code to make environments reproducible, reviewable, and auditable. With tools such as Terraform, I define cloud networking, compute, monitoring, IAM, and data-service configuration in version control, enforce peer review and automated validation, and use controlled deployment workflows. This reduces configuration drift, speeds recovery, and makes infrastructure changes safer to understand and roll back.

What would you automate with AI agents in an SRE or platform engineering environment?

I would prioritize repetitive, well-bounded work such as incident triage summaries, alert enrichment, runbook retrieval, log and trace correlation, post-incident draft generation, and routine maintenance checks. Each automation should have clear permissions, observable actions, human approval for high-risk changes, and measurable outcomes such as reduced mean time to detect or resolve. I would begin with low-risk workflows and iteratively improve them using feedback from engineers.

How do you balance urgent operational work with longer-term reliability improvements?

I use severity-based incident processes to address immediate customer impact, while capturing follow-up actions as prioritized reliability work. I communicate tradeoffs clearly, reserve capacity for technical debt and preventive initiatives, and use metrics such as incident frequency, error-budget consumption, toil, and recurring alert patterns to justify investments. Strong runbooks, automation, and post-incident reviews help convert reactive work into durable platform improvements.

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](https://rubyonrails.org/foundation)!

More about our team and company:

* Fleetio overview video: [https://www.youtube.com/watch?v=YoXyXTFWbkg](https://www.youtube.com/watch?v=YoXyXTFWbkg)
* Our careers page: [https://www.fleetio.com/careers](https://www.fleetio.com/careers)

### Description

Our Platform Engineering team is looking for a Senior Platform 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](https://fleet.io/culture)
* Engineering culture, interview process and videos: [https://www.fleetio.com/careers/engineering](https://www.fleetio.com/careers/engineering)
* Fleetio Go overview video: [https://www.fleetio.com/go](https://www.fleetio.com/go)
* More about the Fleetio platform: [https://www.fleetio.com/features](https://www.fleetio.com/features)
* API docs: [developer.fleetio.com](https://developer.fleetio.com/)
* Test drive Fleetio to get an even better feel for what we’re building: [https://www.fleetio.com/register](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 Platform 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

### 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.

Show more

[Apply now >](https://jobicy.com/jobs/155361-senior-platform-engineer-5.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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