Lead Software Engineer - Java Full Stack, React

JPMorgan Chase & Co.

Bengaluru

Vor Ort

INR 1.800.000 - 3.000.000

Vollzeit

Vor 2 Tagen
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Zusammenfassung

JPMorgan Chase & Co. in Bengaluru seeks a Lead Software Engineer - Java Full Stack, React, to join an agile team building trusted market-leading technology products.

You will drive design and delivery of secure, scalable software across Java back end and React front end, collaborating with cross-functional partners to meet business objectives. You will mentor engineers, adopt AI-assisted development practices, ensure secure coding, and uphold operational stability across production systems while

Qualifikationen

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability for production systems.

Aufgaben

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
  • Applies knowledge of SDLC tools to improve automation value and validation standards
  • Identifies opportunities to automate remediation to improve stability
  • Leads evaluation sessions with external vendors to drive architectural design decisions

Kenntnisse

Java backend
AWS
AI-assisted tooling
Agile methodologies
CI/CD
Code reviews
Security best practices

Tools

Kubernetes
Containers
Observability tooling
CI/CD pipelines

Jobbeschreibung

Lead Software Engineer - Java Full Stack, React
  • Job Identification 210799152
  • Job Category Software Engineering
  • Business Unit Commercial & Investment Bank
  • Posting Date 10/21/2026, 05:21 AM
  • Apply Before 10/26/2026, 04:00 AM
  • Job Schedule Full time
  • Job Shift Day
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

  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • 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.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Hands-on practical experience deliveringsystem design, application development, testing, and operational stability for production systems.
  • Strong hands-on Java backend engineering, caching and data layer experience. Hands-on AWS experience
  • 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
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • In-depth knowledge of the financial services industry and their IT systems
Preferred qualifications, capabilities, and skills
  • Experience withLLMs and agent frameworks, including prompt/tool orchestration patterns andevaluation strategies(quality, safety, regression testing, monitoring).
  • Production experience withcontainers/Kubernetes, feature flags, and modern observability stacks.
  • Performance tuning and resilience patterns such ascaching strategies, async workflows, circuit breakers, timeouts/retries, and backpressure.
  • Experience withprogressive deliveryand experimentation practices (feature flags, phased rollouts, A/B testing), and operating services against defined reliability targets (SLIs/SLOs).
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