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Sean Floyd

@seanlf

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Seasoned Backend Engineer focused on optimizing infrastructure and performance.

Switzerland

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What I'm looking for

I seek a role that challenges my technical skills and fosters growth in a collaborative environment.

As a seasoned Backend Engineer, I specialize in scaling Ruby applications and optimizing developer workflows. My experience includes leading platform engineering initiatives at Hivebrite, where I successfully reduced annual infrastructure costs by 8% and improved system performance significantly. With a proven track record of driving impactful process improvements in multi-tenant platforms, I am always eager to tackle new technical challenges.

My technical leadership has been instrumental in architecting API-first transitions and developing a standardized Docker environment, which has greatly improved developer productivity and onboarding processes. I have a strong background in machine learning and data processing optimization, demonstrated through my research assistant role at the University of Ottawa, where I developed a novel streaming data algorithm that achieved a remarkable 160x performance gain.

Experience

Work history, roles, and key accomplishments

Current

Senior softare engineer

Current

FastRuby

Jan 2025 - Present (5 months)

Providing Rails application modernization expertise for enterprise clients:
- Implementing scalable monolith modularization approach using Packwerk and domain-driven design for large enterprise codebases
- Created Rails upgrade roadmap with PHI-sensitive system
- Working to establish clear system boundaries and architecture patterns to enhance team autonomy and reduce knowledge silos

Ruby Ruby Rails Docker RSpec BASH Linux CI CD CircleCi Git GitHub Gherkin Cucumber Domain Driven Design Modular Architectures

Senior Software Engineer

Hivebrite

Jul 2020 - Dec 2023 (3 years 5 months)

Led critical engineering initiatives from development to production at a fast-growing SaaS platform (€1.5M infrastructure spend, 1M+ users, 600+ communities):
- Reduced large-scale data export time by 98% for communities with 1M+ users
- Cut infrastructure costs €160k annually through targeted performance optimization
- Led platform-wide Ruby 3 and Rails 7 migration
- Reduced CI build times by 50%

Ruby Ruby on Rails Docker Kubernetes Elasticsearch API Design Performance Optimization Python 3 RSpec Sidekiq PostgreSQL CI CD Pipelines

Research Assistant

University of Ottawa

Jan 2018 - Apr 2019 (1 year 3 months)

Focused on machine learning and data processing optimization, developing a novel streaming data algorithm that achieved a 160x performance gain. Led undergraduate data science instruction covering the full analytics lifecycle.

Machine Learning Data Processing Algorithm Development Data Science Performance Optimization

Early Career Engineer

Various

May 2014 - Aug 2016 (2 years 3 months)

Held progressively responsible roles in various organizations, improving system response times and resolving product backlogs. Demonstrated technical growth through contributions to critical systems and maintenance.

SQL System Integration Performance Optimization Maintenance Ruby Ruby on Rails PostgreSQL Microsoft TFS GitHub Travis CI Backbone.Js Ember.Js C#ASP.NET MVC

Education

Degrees, certifications, and relevant coursework

University of Ottawa

Master of Science, Computer Science

2017 - 2019

Grade: Summa Cum Laude (9.8/10)

Activities and societies: $35k in scholarships

Completed a Master of Science in Computer Science with a focus on machine learning and distributed systems. Achieved a performance gain of 160x over state-of-the-art methods through novel streaming data algorithms and led undergraduate data science instruction.

University of Ottawa

Bachelor of Science, Computer Science

2012 - 2016

Grade: Magna Cum Laude (8.5/10)

Activities and societies: Co-op Program with 4 technical internships

Earned a Bachelor of Science in Computer Science through a co-op program that included four technical internships, focusing on foundational computer science principles and practical applications.