High-Frequency Trading App for a Rapidly Growing FinTech Innovator
Industry FinTech
-
$10B+ Client Revenues
-
12+ Successful Years
-
1000+ IT Ninjas
-
5000+ Projects
"The team at Developers.dev are true performance engineering wizards. They not only stabilized our platform but made it one of the fastest trading apps on the market. Their staff augmentation model allowed us to embed their experts directly into our team, and the results were phenomenal. Our app's crash-free rate is now 99.9%."
Head of Engineering
A venture-backed FinTech startup in the EU aimed at democratizing stock trading for millennials. Their existing Android app was struggling to handle a massive influx of new users, leading to performance issues, latency, and crashes during peak trading hours. They needed to re-architect their app for scale and performance to maintain user trust and support their rapid growth.
The client's monolithic app architecture and inefficient data handling could not cope with the exponential user growth. This technical debt was threatening their brand reputation and ability to compete.
Re-architecting the app for high-concurrency and low-latency data streaming.
Optimizing memory and battery usage to prevent app crashes on a wide range of devices.
Ensuring the security of sensitive financial transactions and user data.
Executing the migration with zero downtime for their active user base.
We provided a "Performance-Engineering Pod" through our Staff Augmentation model. Our senior Android and back-end engineers worked as an extension of the client's in-house team.
We helped the client migrate their back-end from a monolith to a microservices architecture and implemented GraphQL for efficient data fetching on the mobile client.
Our engineers used advanced profiling tools to identify and eliminate bottlenecks in the app's rendering pipeline, memory allocation, and network requests.
We refactored the app's core using Kotlin Coroutines and Flow to handle real-time data streams from the trading engine efficiently and without blocking the UI thread.
We implemented certificate pinning, root detection, and code obfuscation to harden the app against reverse engineering and man-in-the-middle attacks.
Our embedded engineers participated in all of the client's Agile ceremonies.
The re-architecture was done module by module to de-risk the process.
We used feature flags to gradually roll out the new architecture to users.
We established a comprehensive CI/CD pipeline with automated performance regression tests.
Extensive load testing was performed to simulate trading volumes 10x their previous peak.
Our team provided 24/7 support during the final cutover to the new system.
Real-time stock data updates became virtually instantaneous.
App stability improved dramatically, leading to higher user ratings.
The new architecture could handle five times the previous peak user load without performance degradation.
The new modular architecture allowed the client's team to ship new features more quickly.
Vetted, In-House Experts
Unmatched Process Maturity
Enterprise-Grade Security
Full IP Ownership
Zero-Risk Talent Guarantee
AI-Augmented Delivery
Deep Domain Expertise
Seamless Team Integration
Proven Track Record
This project demonstrates our ability to provide highly specialized talent that can tackle the most demanding technical challenges. By augmenting the client's team with our performance engineering experts, we helped them overcome their technical limitations and build a platform capable of supporting their ambition to become a market leader.