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Lead Software Engineer - Java Fullstack

JPMorgan Chase · Posted Nov 2

Global banking, investment, credit card, mortgage, and asset management services

Hyderabad, Telangana, IndiaFull-timeOnsiteLead/Staff5+ years₹32.0L–₹48.0L yearly41 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

The Consumer and Community Banking technology team at JPMorganChase works in agile teams to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. The work centers on cloud-native, microservices-based applications and modern full-stack Java engineering practices. As a Lead Software Engineer, the role acts as a core technical contributor delivering end-to-end solutions, driving domain modeling and secure high-quality code, and leading adoption of enterprise-authorized AI-assisted engineering practices across the team.

What you will do

  • 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 and 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.
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies and Adds to team culture of diversity, opportunity, inclusion, and respect.
  • Promptly investigate and resolve issues, ensuring they do not resurface and Continuously update technologies and patterns to keep systems current.
  • Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
  • 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.

Skills used in this role

What the employer is looking for

  • Formal training or certification on software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
  • Proficiency in back-end technologies (e.g., Java, Springboot,) with experience building microservices-based applications; for full-stack roles, proficiency also includes front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).Strong proficiency in Java and related frameworks (Spring, Spring Boot, Hibernate).
  • Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, including RESTful APIs and web services, WebSockets, and JSON.
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
  • Experience with database technologies (SQL, MySQL, PostgreSQL) and Experience with version control systems (Git).
  • 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

  • Ability to drive broader impact by sharing and contributing best practices.
  • Experience in the banking domain, AWS certification.
  • Understanding of RESTful API design and integration.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company
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