Lead Software Engineer - UI (React & Python)

• *JOB DESCRIPTION**

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, stable, 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 improvements.
• Partner with stakeholders to translate business needs into clear requirements and deliver iteratively with strong documentation and communication.
• Drives team adoption of enterprise\-authorized AI\-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI\-assisted code review/refactoring, test strategy acceleration, incident/root\-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise\-authorized AI\-assisted development and automation capabilities, to improve the value realized by automation.

• *Required qualifications, capabilities, and skills**

• Formal training or certification on software engineering concepts and 5\+ years applied experience.
• Strong front\-end engineering experience with Angular and/or React and TypeScript, including component design, UI testing, and maintainability.
• Strong SDLC experience in an enterprise environment: CI/CD, automated testing, release management, and production support with governance/controls.
• Experience building real\-time systems (messaging/streaming, caching, low\-latency APIs) and integrating UIs with backend APIs using contract\-driven development and safe rollout patterns.
• Proficiency in performance tuning across the stack (services: CPU/memory/IO; UI: responsiveness/render performance) and designing for throughput/backpressure/graceful degradation.
• Experience leading effective use of approved AI\-assisted development tools, with standards for validating AI outputs (correctness, performance, security) and responsible AI practices.
• IAM/SSO integration experience (OAuth2/OIDC and/or SAML), JWT/session management, and RBAC/entitlements; MFA\-aware flows and secure session lifecycle controls
• Demonstrated experience leading effective use of approved AI\-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

• *Preferred qualifications, capabilities, and skills**

• Experience building front\-office trading/risk/PnL UIs with strong usability under time pressure.
• Familiarity with real\-time UI delivery patterns (e.g., WebSockets/streaming) and ensuring correctness/ordering/user trust.
• Experience with UI operational excellence: client\-side telemetry/logging, synthetic monitoring, performance budgets, production troubleshooting.
• Experience leading cross\-functional delivery across quant/risk stakeholders, production management, and multiple engineering teams.

• *ABOUT US**