
Senior Ruby on Rails Developer
Proxify ABThe Role:
We are looking for a Senior Ruby on Rails developer for one of our clients. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products and growth features.
What we are looking for:
- Minimum of 5 years of experience in Ruby on Rails development with a strong portfolio of completed projects.
- Proficiency in Ruby, Ruby on Rails, and related technologies such as HTML, CSS, JavaScript, and SQL.
- Strong experience with relational databases such as PostgreSQL or MySQL.
- Proficiency with testing frameworks such as RSpec and Capybara.
- Strong knowledge of version control systems, particularly Git.
- Excellent analytical and problem-solving skills with a proactive approach to identifying and resolving issues.
- Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones.
Responsibilities:
- Design, develop, and maintain high-quality web applications using Ruby on Rails.
- Write clean, maintainable, and efficient code following best practices and coding standards.
- Implement comprehensive testing strategies to ensure application stability and robustness, including unit tests, integration tests, and end-to-end tests.
- Identify and resolve performance bottlenecks to ensure applications run smoothly and efficiently.
- Maintain thorough documentation of development processes, code, and system configurations to ensure knowledge sharing and project continuity.
What we offer:
Opens the company's application page
Listed via
Findwork
findwork.dev
Similar roles

Data Analyst
Harnham - Data & Analytics Recruitment

Senior Data Analyst
Harnham - Data & Analytics Recruitment

Service Charge Data Analyst
Robertson Bell
Data Analyst
R3vamp Limited
Design & Tech
Related reads from TCHNX

Why AI Design Tools Are Quietly Replacing Junior Designers and What Actually Comes Next
AI tools promise efficiency, but London studios are discovering an unexpected paradox: automation creates new bottlenecks requiring precisely the expertise being eliminated. We investigate what's actually happening to entry-level design work.

The Inference Economy: Why AI’s Biggest Cost Shift Is Happening After Training
A major shift in AI economics is reshaping the industry. As training frontier models becomes more expensive and inference becomes dramatically cheaper, companies are being forced to rethink how they build, deploy, price, and monetise intelligent systems.

The Emergence of Small Language Models: Why Efficiency Is Overtaking Scale
As the AI industry confronts computational costs and environmental concerns, a new generation of compact models is proving that bigger isn't always better. Small language models are reshaping enterprise AI deployment.