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Lead Software Engineer - Java

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 4 days ago

No clicks

**Lead Software Engineer - Java** drives innovative solutions at JPMorganChase's Corporate & Investment Bank - Payments. **Leads** agile teams, delivering **secure, scalable** technology products. **Responsibilities** span **creative software solutions**, **code development & review**, driving **AI-assisted engineering practices**, and **technical troubleshooting**. **Requires** 5+ years' experience with **Core Java**, **Spring**, **Hibernate**, and **React**. **Experience** in **agile methodologies**, **cloud native** environments, and **financial services** is desired.

Compensation
Not specified

Currency: Not specified

City
Mumbai
Country
India

Full Job Description

Location: Mumbai, Maharashtra, India

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 Corporate & Investment Bank - Payments, 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 firms 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
  • Advanced in Core Java, J2EE development including application servers like Tomcat / Weblogic and corresponding web server, IDEs like Eclipse, server-side application development along with React
  • Proficiency in develop frameworks like Spring and ORM concepts with specific work on Hibernate or iBatis along with experience  with database programming using SQL on Oracle 9i / Oracle 10g
  • 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
  • Practical cloud native experience
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team

Lead Software Engineer - Java

Compensation

Not specified

City: Mumbai

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

4 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Lead Software Engineer - Java** drives innovative solutions at JPMorganChase's Corporate & Investment Bank - Payments. **Leads** agile teams, delivering **secure, scalable** technology products. **Responsibilities** span **creative software solutions**, **code development & review**, driving **AI-assisted engineering practices**, and **technical troubleshooting**. **Requires** 5+ years' experience with **Core Java**, **Spring**, **Hibernate**, and **React**. **Experience** in **agile methodologies**, **cloud native** environments, and **financial services** is desired.

Full Job Description

Location: Mumbai, Maharashtra, India

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 Corporate & Investment Bank - Payments, 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 firms 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
  • Advanced in Core Java, J2EE development including application servers like Tomcat / Weblogic and corresponding web server, IDEs like Eclipse, server-side application development along with React
  • Proficiency in develop frameworks like Spring and ORM concepts with specific work on Hibernate or iBatis along with experience  with database programming using SQL on Oracle 9i / Oracle 10g
  • 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
  • Practical cloud native experience
Carry out critical tech solutions across multiple technical areas as an integral part of an agile team