India Knowledge engineer semantic web technologies Jobs – 116 Open Jobs Today

Principal Software Engineer - React, UI
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Java
- Software development
- APIs
4h
Director, Scientific and Operations Intelligence - Obesity
Amgen —Hyderabad, Telangana
- Microsoft Access
- Azure
- Computer Science
14d
Applied AI Engineer -Croatia(Remote)
DoiT —Haryana
- Remote
- Azure
- Master's degree
- AWS
- Health insurance
- Paid time off
Quick apply
5h
IN_Senior Associate_Java Full Stack_D&A_Advisory_Bangalore
PwC —Bengaluru, Karnataka
- Full-time
- Azure
- Oracle
- Computer Science
12d
Software Engineer
Newfold Digital —India
- Full-time
- Master's degree
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- APIs
- Paid time off
- Work from home
Senior AI Engineer – Artificial Intelligence
Accordion —India
- Azure
- Computer Science
- Master's degree
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Lead AI Engineer – Artificial Intelligence
Accordion —India
- Azure
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- Master's degree
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User Experience Designer
Zyxware Technologies —India
- Communication skills
- HTML
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Dot Net Full Stack Developer
Zensar Technologies —India
- Azure
- Salesforce
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Principal Software Engineer - React, UI

JPMorganChase -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
4 hours ago

Qualifications

CI/CD
React
Java
Continuous integration
Software development
APIs
AI
TypeScript
Banking
SDLC

Full job description

JOB DESCRIPTION

Your next role should amplify your impact and accelerate your growth. Join a collaborative, hands‑on team building UI architecture and reusable component platforms that power secure, intuitive Trade Finance experiences at scale.

As a Principal Software Engineer at JPMorganChase within the Trade & Working Capital, you will set the technical direction for frontend architecture and be hands-on building reusable React/TypeScript components and patterns adopted across multiple squads. You'll partner across Product, Design, and Engineering to deliver consistent UX, high-performance UIs, and reliable integrations with Java-based services. You'll work closely with product, design, and backend architecture. Turning complex requirements into simple, compliant front-end systems that hold up in regulated environments. We value practical leadership, clear communication, and accountability for outcomes—while staying close to code and production.

Job responsibilities

Own frontend architecture for customer-facing applications, including application structure, routing, state management, module boundaries, and integration patterns to enable scale, resiliency, and rapid delivery.
Design, build, and maintain a reusable component platform/design system (React + TypeScript): core UI primitives, complex workflow components, accessibility standards, theming, documentation, and versioned release strategy.
Stay hands-on in code: build high-impact components, reference implementations, and templates; drive adoption through pull requests, pairing, and technical reviews.
Define and evolve shared UI patterns (forms, validation, tables/grids, document upload, approvals, error handling, notifications, entitlements-based rendering) to ensure consistency across customer journeys.
Partner with backend teams to shape API contracts optimized for UI (latency expectations, pagination, error semantics, idempotency, versioning) and drive UI-friendly patterns (BFF where appropriate).
Establish frontend performance engineering practices: bundle strategy, rendering efficiency, caching, and Core Web Vitals; ensure high performance under real-world workloads. Implement frontend observability and operability: client-side logging/metrics, correlation IDs, trace linkage, actionable dashboards, and runbooks for production support.
Lead secure-by-design UI engineering: authN/authZ flows, secure session handling, PII masking, XSS/CSRF protections, dependency governance, and compliance guardrails. Coach engineers and raise standards in UI architecture, component quality, testing, and documentation, ensuring reusable assets are reliable and discoverable.
Own delivery outcomes across multiple squads: roadmap alignment for the UI platform, release readiness, dependency management, and risk mitigation/escalation.
Lead incident response and root-cause analysis for customer-facing applications; drive corrective/preventive actions that improve stability and user experience. 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 at scale.
Apply GenAI/LLMs to enhance UI and operational workflows (e.g., guided task completion, intelligent assistance, search/summarization) with appropriate controls and governance.
Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years of applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
Strong hands-on experience building frontend architecture for large-scale web applications using React + TypeScript, including state management, component APIs, and modularization strategies.
Proven experience building reusable component libraries/design systems (versioning, adoption strategy, documentation, accessibility) and driving usage across teams.
Demonstrated ability to be hands-on: shipping production UI code, leading complex refactors/migrations, and unblocking teams through practical implementation.
Experience with frontend testing strategy (unit/integration/E2E), CI/CD, and release safety mechanisms (feature flags, canaries/rollbacks).
Strong understanding of secure development practices for customer-facing apps in regulated environments (PII handling, dependency risk, secure coding).
Ability to communicate complex technical topics clearly to senior stakeholders across product, design, engineering, operations, and risk.
Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred qualifications, capabilities and skills

Experience modernizing legacy UIs into next-generation UI architectures (incremental migration strategies, shared component adoption, platform rollout).
Prior experience in banking, fintech, trading, or capital markets platforms.
Background in technology consulting or professional services.

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