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Lead Software Engineer - Java, React, AWS
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Azure
- Software troubleshooting
- Java
3h

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Lead Software Engineer - Java, React, AWS

JPMorganChase -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
3 hours ago

Qualifications

Spring Boot
CI/CD
Azure
Node.js
CSS
Software troubleshooting
React
Full-stack development
AWS Certification
NoSQL
Java
Databases
Microservices
SQL
AWS
Machine learning
JavaScript
Distributed systems
Continuous integration
REST
Angular
Scrum
Software development
APIs
Agile
JSON
AI
TypeScript
Banking
Spring framework
Negotiation
HTML
SDLC

Full 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.

As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Global Banking Technology team, 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 delivering critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job Responsibilities

Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
Develops secure high-quality production code, and reviews and debugs code written by others.
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
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. Promptly investigate and resolve issues, ensuring they do not resurface.
Continuously update technologies and patterns to keep systems current.
Design and build solutions that avoid single points of failure using scalable architectural patterns.
Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience
Proficiency in back-end technologies (e.g., Java, Spring boot, Node.js ) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
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
Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
Understanding of application resiliency
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
Ability to drive broader impact by sharing and contributing best practices.
Experience in the banking domain.
AWS certification.

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