Simulation Details

FinFuture is a rapidly growing fintech startup founded in 2017, specializing in API-driven financial solutions that streamline transaction processing and reconciliation for businesses. Serving over 500 enterprise clients across industries like retail, healthcare, and logistics, FinFuture processes an average of 2 million transactions daily. Its APIs are essential for features like automated transaction reconciliation, fraud detection, and real-time reporting, contributing 75% of the company’s annual revenue.

The company’s technical infrastructure emphasizes scalability and performance, utilizing Docker, Kubernetes, and Jenkins for efficient development and deployment. Kubernetes enables dynamic scaling during peak transaction periods, ensuring 99.99% uptime—a critical factor for retaining high-value clients. Recently, FinFuture secured a $15 million contract with GlobalTrade Corp, contingent on successfully migrating its legacy Spring Boot-based API to the latest version. This migration is crucial for meeting scalability requirements, handling up to 5 million transactions per day, and complying with new international regulatory standards.

The migration project has revealed undocumented business logic embedded in the legacy system, including a custom algorithm for transaction reconciliation relied upon by 40% of FinFuture’s enterprise clients. Addressing this logic is vital to maintaining compatibility with client-facing features and avoiding disruptions in financial workflows. The fintech industry is highly competitive, with rivals like PayTech Solutions and InnovateFinance advancing API capabilities. Successfully upgrading the API will enhance scalability by 50%, reduce transaction processing times by 20%, and position FinFuture for future growth.

You will step into the role of Alex Morgan, the Tech Lead at FinFuture, tasked with leading the migration of the company’s legacy Spring Boot-based API to its latest version. During the simulation, you will engage in a one-on-one chat with Priya Kapoor, the QA Lead, who raises concerns about undocumented business logic discovered during the migration process. This custom algorithm is critical for transaction reconciliation, a feature relied upon by major accounts like GlobalTrade Corp.

Your mission is twofold: first, evaluate the risks and trade-offs of remediating the undocumented business logic during the migration versus deferring it to meet the aggressive timeline. Second, communicate your decision effectively to Priya, addressing her concerns and ensuring alignment with FinFuture’s strategic goals. Your ability to balance technical feasibility, client satisfaction, and business priorities will be key to guiding the migration process toward success.

– Analyze the risks and trade-offs of remediating or deferring the undocumented business logic during the migration process.
– Engage in a one-on-one chat with Priya Kapoor to discuss her concerns and insights regarding the undocumented logic.
– Make a strategic decision that aligns with FinFuture’s goals and priorities.
– Communicate your decision clearly to Priya, providing evidence-based reasoning and addressing her concerns.
– Ensure your decision minimizes potential disruptions to client-facing features and safeguards FinFuture’s reputation for reliability.

Team

Who you will work with in this Simulation
Your team is 100% generated by AI – you will not interact with real people and no human will read your conversation.

Priya Kapoor
QA Lead

Arjun Mehta
Senior Backend Developer

Alex Morgan
Tech Lead

Rohan Patel
Director of Engineering

Organization

A fintech startup specializing in API-driven financial solutions for transaction processing and reconciliation.