Senior Ruby on Rails Developer
Back-end Engineer
Available for hire
Years of
experience
11+ years
Experience
level
Senior
Available
for
Full-time
Available from
16 Aug 2026
Senior back-end engineer with 10+ years of Ruby on Rails experience across high-load, data-heavy systems, including fintech-adjacent and reporting platforms. Proven in PostgreSQL tuning, API integrations, ETL pipelines, and scalable system delivery across cross-functional teams.
Employment History
Senior Ruby on Rails Developer at
Maxbitsolution
Current
2023
-
Now
Large-scale online gambling platform
Team: 7 BE, 1 FE, 3 QA, 1 PM
Rails 7.2 / Ruby 3.3 / PostgreSQL / Vue.js
• Architected and maintained backend systems for a large-scale platform, supporting uptime and horizontal scalability under peak load.
• Improved PostgreSQL query latency by ~40% on high-traffic tables through schema redesign, hot-path query rewrites, and targeted indexing.
• Delivered integrations with 30+ payment gateways and third-party providers, expanding payment options and supporting checkout reliability.
• Built admin interfaces and analytics dashboards adopted by operations, removing several hours of daily manual reporting work.
• Strengthened code quality through PR reviews, documentation, and Rails best practices.
Ruby on Rails Developer at
AdLibertas
2020
-
2023
Audience Reporting — event-level revenue performance reporting for mobile app developers
Team: 5 BE, 1 FE, 1 PM
Rails 5.2 / Ruby 2.6 / MySQL / AWS / BigQuery / Python 3.0
• Built ETL pipelines that loaded terabytes of ad-revenue event data from 10+ third-party APIs into AWS storage and BigQuery, reaching sub-hourly freshness.
• Replaced manual exports with a configurable reporting system, reducing reporting turnaround from days to minutes.
• Automated monitoring and anomaly detection workflows, cutting incident detection and response time by ~60%.
• Created a forecasting module with historical accuracy used by account managers for client-facing projections.
Ruby Developer at
Profitero
2014
-
2020
Global e-commerce price intelligence platform covering 1 000+ retailers (Amazon, Walmart, Target, Tmall, etc.)
Team: 10 BE, 4 QA, 1 PM
Ruby 2.1 / Python 2.7 / Bash / MySQL / ClickHouse
• Developed web-scraping infrastructure and anti-blocking strategies to collect pricing and availability data across 1,000+ retailers worldwide.
• Designed and optimized reporting queries on high-load MySQL and ClickHouse databases for analyst and client-facing dashboards.
• Built Ruby and Bash automation for monitoring and scheduled data refresh, reducing manual operations workload for the data team.
• Contributed to internal tooling in Ruby, Rails, and Python, integrating with JIRA and Grafana.
• Mentored junior developers and served as a technical reference for the scraping domain.
Education
M.Sc. Informatics at
Belarusian State University of Informatics and RadioElectronics
2017
-
2020
B.Sc. Software Engineering at
Belarusian State University of Informatics and RadioElectronics
2013
-
2017