Lead Software Engineer - UI (React & Python)

JPMorganChase; Mumbai; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Lead Software Engineer to drive real-time risk and PnL UI solutions, building scalable frontend and backend services.

You will lead design, implement, and operate distributed microservices, and mentor teams, using Angular/React and TypeScript, with security and reliability at the core.

Join a fast-paced enterprise context with AI-assisted development and strong governance.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years applied experience.
• Strong front-end engineering experience with Angular and/or React and TypeScript, including component design and UI testing.
• Strong SDLC experience in an enterprise environment: CI/CD, automated testing, release management, and production support.

Responsibilities

• Build and evolve real-time Risk / PnL UI workflows for credit products.
• Design and deliver low-latency, high-throughput services that publish risk data to front-office consumers.
• Develop distributed microservices and event-driven pipelines consuming market data and reference data; produce risk measures.
• Lead design and delivery of web UIs for real-time risk/PnL workflows with Angular and/or React and TypeScript.
• Implement UI state management and real-time data patterns for correctness and performance.
• Own end-to-end technical design across UI and services, including data contracts and schema evolution.
• Drive AI-assisted engineering practices with validation standards and observability.
• Translate business needs into clear requirements and deliver iteratively with documentation.
• Promote reuse of patterns and safe AI adoption within delivery practices.

Skills

Angular

React

TypeScript

Real-time UI

UI testing

CI/CD

AI-assisted development

OAuth2/OIDC

RBAC

SAML

JWT

Education

Software engineering certification

Tools

OAuth2/OIDC

SAML

JWT

CI/CD tooling

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

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.