Lead Software Engineer - Java Backend

JPMorgan Chase & Co.

Bengaluru

On-site

INR 4,000,000 - 6,000,000

Full time

2 days ago
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Job summary

JPMorgan Chase & Co. within the Commercial & Investment Bank is seeking a Lead Software Engineer.

You will be a core technical contributor in an agile team that builds trusted market-leading technology products in a secure, scalable manner. You will design, develop, test, and operate software, mentor peers, and drive adoption of AI-assisted engineering practices while ensuring code quality and operational stability.

Qualifications

  • Formal training or certification in software engineering with 5+ years of experience.
  • Hands-on experience delivering system design, application development, testing, and operational stability.
  • Ability to independently solve design and functionality challenges with minimal supervision.
  • Experience with cloud platforms (AWS, Azure, GCP) and web technologies, including RESTful APIs, WebSockets, and JSON.
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
  • Experience leading AI-assisted software development tools usage with validation of AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows and secure handling of data.

Responsibilities

  • Executes creative software solutions, design, development, and troubleshooting with ability to think beyond routine approaches to build solutions or break down problems.
  • Develops secure high-quality production code and reviews code written by others.
  • Drives team adoption of enterprise AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
  • Applies software development lifecycle tools to improve automation and value.
  • Identifies opportunities to automate remediation to improve stability of apps and systems.
  • Leads evaluation sessions with external vendors, startups, and internal teams on architecture and credentials.
  • Leads communities of practice across Software Engineering to drive adoption of new technologies.

Skills

Cloud platforms
Distributed systems
Web technologies
RESTful APIs
WebSockets
JSON
SQL/NoSQL
AI-assisted tools
CI/CD
Application resiliency
Security
Agile methodologies
SDLC

Job description

  • Business Unit Commercial & Investment Bank
  • 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 JPMorgan Chase within the Commercial & Investment Bank, youare 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 break down technical problems
  • Develops secure 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

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
  • 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.
  • Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
  • 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 including advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.

Preferred qualifications, capabilities, and skills

  • Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
  • Strong problem-solving, analytical, and communication skills.
  • Ability to drive broader impact by sharing and contributing best practices.
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