• Strong brand & stability: Being part of J.P. Morgan Chase gives you exposure to global-scale financial systems and cutting-edge technology. It’s one of the safest and most respected employers in the financial sector.
• Technology & innovation: Plenty of opportunities to work on modern tech stacks like Java, Kotlin, AWS, Kubernetes, Kafka, CI/CD, and automation frameworks. Large-scale projects provide real-world challenges in system design, scalability, and security.
• Work-life balance: Depending on the team, working hours are reasonable compared to many other financial institutions. Policies for leave, health insurance, and family support are excellent.
• Learning opportunities: Internal platforms, certifications, and knowledge-sharing sessions help in continuous upskilling. The culture supports clean architecture, design patterns, and enterprise-grade engineering.
• Career growth: Exposure to global teams and the chance to transition across domains (Payments, Wealth Management, Trading, etc.).
• Bureaucracy: Decision-making can sometimes be slow due to the size and global nature of the organization.
• Managerial politics: As with most large enterprises, some teams experience internal politics, which can affect growth and daily experience.
• Innovation pace: Legacy modernization is ongoing, but processes and approvals can delay experimentation with new tools compared to startups.
• Career progression speed: Promotions may take longer than expected; growth often depends on navigating internal networks.
• Continue empowering engineers with autonomy in technology decisions. • Reduce bureaucratic hurdles to speed up delivery and innovation. • Ensure managers foster collaboration and transparency, minimizing politics.
Easy and simple. The HR seemed understanding and coordinating. I wasn't selected, but I enjoyed the process. I applied for a Machine Learning Engineering role, mainly on Databricks and Azure.
Got a call from HR regarding the opening. Below were my interview rounds: 1. Telephonic, first technical round 2. Telephonic, second technical round 3. Telephonic, third technical round 4. Video conference call, fourth techno-managerial round with V
Received an email from HR for an interview. Interviewed by a Lead Engineer. HR mentioned it is a technical interview but no live coding; however, there’s live coding as well. It’s a very technical interview, so be prepared for DSA, OOPs.
Easy and simple. The HR seemed understanding and coordinating. I wasn't selected, but I enjoyed the process. I applied for a Machine Learning Engineering role, mainly on Databricks and Azure.
Got a call from HR regarding the opening. Below were my interview rounds: 1. Telephonic, first technical round 2. Telephonic, second technical round 3. Telephonic, third technical round 4. Video conference call, fourth techno-managerial round with V
Received an email from HR for an interview. Interviewed by a Lead Engineer. HR mentioned it is a technical interview but no live coding; however, there’s live coding as well. It’s a very technical interview, so be prepared for DSA, OOPs.