JPMorgan Chase Staff Software Engineer Interview Questions

1.Describe a time when you noticed a teammate struggling with their work or personal situation. How did you step in to help?

2.Describe a time when you had to implement emergency changes to a production system under tight regulatory or compliance constraints. How did you balance speed with proper controls?

3.Tell me about a time you had to push back on your own team or leadership to protect a client experience. What was the situation and how did you handle the pushback?

4.Tell me about the last time you gave constructive feedback to a peer or direct report that resulted in meaningful improvement in their performance. What was the feedback and what changed?

5.Walk me through the most critical production incident you've led in the past two years. What broke, how did you respond, and what did you learn?

6.Walk me through a technical decision where you chose a more complex solution because it better served end users, even though your team preferred a simpler approach. How did you justify the tradeoff?

7.You're reviewing a Spring Boot service that processes payment transactions. The junior developer wrote everything in a single @Transactional method that calls five different databases. What concerns do you have and how would you refactor it?

8.You're investigating why our internal LLM Suite is returning inconsistent answers about the same regulatory question when asked by different employees. The model seems to work fine in testing but fails in production. How do you debug this?

9.Our Kafka cluster that feeds real-time trading data to J.P. Morgan Markets is experiencing consumer lag during market volatility. The lag spikes to 30 seconds when volume increases 10x. How do you diagnose and fix this?

10.You need to design a new microservice for Chase Mobile that determines if a customer qualifies for a credit line increase. It needs to call our internal credit scoring service, external credit bureaus, and risk management APIs. Walk me through your architecture.

11.We're migrating a legacy mainframe payment processing system to AWS. The current system processes 50,000 wire transfers per minute with sub-second latency requirements. Design the cloud architecture and explain your migration strategy.

12.Your team is building a new feature for Onyx that tokenizes real estate assets on blockchain. The product manager wants to store all asset metadata on-chain, but you're concerned about costs and scalability. How do you handle this disagreement?

13.Design a notification system for Chase Mobile that can handle 500 million push notifications daily while ensuring customers receive critical alerts about their accounts within seconds. How do you prioritize different types of notifications and handle delivery failures?

14.You're building a document processing system for Onyx that extracts and validates contract terms from tokenized real estate assets. The system needs to handle 10,000 documents per day with 99.9% accuracy while maintaining an audit trail for regulatory compliance. Walk me through your architecture.

15.Design a data pipeline that ingests market data from 100+ exchanges and makes it available to J.P. Morgan Markets traders within 10 microseconds. The system needs to handle 50 million price updates per second during volatile trading periods.

16.Build a search and recommendation engine for JPMorgan's internal LLM Suite that helps 200K+ employees find the most relevant AI assistants and prompts for their specific role and task. How do you personalize results while maintaining compliance with data governance policies?

17.Design a real-time fraud detection system for Chase Mobile that can block suspicious transactions within 100ms while processing 2 million transactions per hour during peak times. How do you ensure we catch fraud without blocking legitimate customers?

18.You need to build a configuration management system for JPMorgan Payments that can instantly update routing rules across 50,000+ microservices processing $10 trillion daily. How do you design this without risking payment failures?

19.Tell me about a time you had to convince senior stakeholders to invest in technical infrastructure that wouldn't directly improve client features. How did you make the business case?

20.Describe a situation where you had to lead a cross-team technical initiative without having formal authority over the other teams. What was your approach?

21.Walk me through a time when you had to make a tough architectural decision that involved significant technical debt or legacy system constraints. How did you balance innovation with operational stability?

22.Tell me about a time you identified a significant technical or operational risk that others hadn't noticed. How did you escalate it and drive resolution?

23.Describe a situation where you had to rebuild or significantly improve a team's engineering practices while they were still delivering on existing commitments. What was your strategy?

24.Tell me about a time you had to make a critical technical decision under severe time pressure where the wrong choice could have had significant business impact. How did you approach the decision-making process?

25.JPMorgan Payments processes $10 trillion daily across thousands of microservices. If our main payment routing service goes down for 30 minutes during peak hours, estimate the financial impact to the bank and our clients. Walk me through your calculation.

26.Chase's credit card fraud detection system currently flags 2% of legitimate transactions as potentially fraudulent, creating 50,000 false positive customer service calls daily. Each call costs $8 and frustrates customers. How would you reduce false positives by 30% while maintaining fraud catch rates?

27.Chase Mobile's login success rate dropped from 99.2% to 98.7% over the past week, affecting about 400,000 additional failed logins daily. No deployments happened and infrastructure metrics look normal. How do you investigate this?

28.Our internal LLM Suite has 200K+ employees as users, but adoption varies wildly across business lines. Investment Banking uses it 10x more than Corporate Banking. Without access to detailed user surveys, how would you analyze the usage data to understand why and recommend improvements?

29.You're designing a capacity planning model for J.P. Morgan Markets' FX trading platform. During major economic events, trading volume can spike 20x normal levels. How do you build a model that predicts when to auto-scale infrastructure while avoiding both under-provisioning and wasteful over-provisioning?

30.Onyx's blockchain settlement platform needs to handle 1 million daily transactions while maintaining full regulatory audit trails. The current implementation stores everything on-chain, but costs are growing exponentially. How do you redesign the data architecture to reduce costs while preserving compliance requirements?