We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, reliable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Build and evolve real-time Risk / PnL UI workflows capabilities for credit products, including intraday Greeks/sensitivities, VaR inputs, explain/attribution, and scenario/stress runs.
- Design and deliver low-latency, high-throughput services that publish risk and PnL to front-office consumers with clear SLAs, observability, and operational readiness.
- Develop distributed microservices and event-driven pipelines consuming market data, trades,
and reference data; produce risk measures; and serve APIs to UI and downstream systems.
- Lead design and delivery of web UIs for real-time risk/PnL workflows using Angular and/or React with TypeScript, including API integration, robust error handling, and resilience under degraded conditions.
- Implement UI state management and real-time data patterns (streaming updates, caching, pagination/virtualization) for correctness and performance under high-frequency updates.
- Own end-to-end technical design across UI and services, including data contracts, schema evolution, dependencies, and failure modes.
- Drive adoption of enterprise-authorized AI-assisted engineering practices with strong validation standards (secure coding, peer review, automated testing) and pattern reuse. Drive observability and production excellence: instrumentation, monitoring/alerting, incident triage, root-cause analysis, runbooks, and reliability improvement
📌 Lead Software Engineer (Mumbai)
🏢 JPMC
📍 Mumbai