Lead Software Engineer - Java/ Python Fullstack

Posted Yesterday
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Expert/Leader
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Lead design, build, and maintain end-to-end Java or Python full-stack applications with secure APIs and responsive frontends. Embed AI via prompt engineering, ensure CI/CD, observability, and production support, collaborate cross-functionally, and drive adoption of AI-assisted engineering practices and secure development.
Summary Generated by Built In

Join a high-performing agile team where your expertise shapes modern, user-centric software products. Unlock career growth by leveraging advanced AI, Java, and Python full-stack development skills.

 

Job summary
 

As a Lead Software Engineer at JPMorgan Chase within the Employee Platforms Team, you design, build, and maintain end-to-end applications, including backend services, APIs, and UI, while embedding AI capabilities using strong prompt engineering practices. You apply deep expertise in software engineering, application architecture, and secure development, continuously expanding your knowledge across the product and AI landscape. You collaborate with cross-functional teams to deliver impactful solutions and foster a culture of innovation.

 

Job responsibilities
 

  • Design, develop, test, and deliver Java- or Python-based backend services and full-stack web applications for business-critical platforms

  • Develop responsive and accessible frontend experiences (e.g., React/Angular) and integrate them with backend APIs, with experience in Kafka or other messaging tools

  • Own a workstream or project across the full SDLC, including requirements, design, implementation, code review, and production support

  • Build and maintain REST/GraphQL APIs, integrate with internal services, and ensure reliability, performance, and observability at the application level

  • Design and develop next generation applications on Public Cloud infrastructure

  • Implement secure coding practices, data handling controls, and automated testing (unit, integration, end-to-end)

  • Partner with product, UX, data, and QA teams to deliver high-quality outcomes and drive continuous improvement

  • Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns

  • Apply 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

  • Consider upstream/downstream data and system implications within the application domain and propose mitigations

 

Required qualifications, capabilities and skills
 

  • Formal training or certification on software engineering concepts and 10+ years applied experience in software development

  • Strong proficiency in Java (e.g., Java 21+) or Python, Django, Flask, Spring/Spring Boot, building APIs, and service-oriented/microservice architectures

  • Strong full-stack experience with modern JavaScript/TypeScript and a framework such as React or Angular

  • Experience with databases (SQL and/or NoSQL), data modeling, and query optimization from an application perspective

  • Experience with CI/CD usage, code quality practices, automated testing, and production support within application teams

  • Solid understanding of application security (OAuth/OIDC, secure API design, secrets handling, OWASP)

  • Prompt engineering skill: prompt patterns, structured prompting, tool/function calling concepts, output validation, and iterative refinement

  • Strong communication and stakeholder management skills, with ability to influence across technical and business teams

  • Demonstrated experience leading effective use of approved AI-assisted software development tools 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, capabilities and skills
 

  • Experience building AI-enabled products (RAG patterns, embeddings, vector stores, evaluation harnesses)

  • Experience with event-driven systems (Kafka or similar) and distributed system design

  • Familiarity with containers and orchestration concepts (developer-level usage)

  • Experience mentoring engineers, leading design reviews, and setting coding standards

 

Skills Required

  • Formal training or certification in software engineering and 10+ years applied software development experience
  • Strong proficiency in Java (e.g., Java 21+) or Python and experience with Django or Flask
  • Experience with Spring / Spring Boot and building APIs and service-oriented/microservice architectures
  • Full-stack experience with modern JavaScript/TypeScript and a framework such as React or Angular
  • Experience with databases (SQL and/or NoSQL), data modeling, and query optimization
  • Experience with CI/CD, code quality practices, automated testing (unit, integration, end-to-end), and production support
  • Solid understanding of application security (OAuth/OIDC, secure API design, secrets handling, OWASP)
  • Prompt engineering skills (prompt patterns, structured prompting, tool/function calling concepts, output validation, iterative refinement)
  • Experience building and maintaining REST and GraphQL APIs and integrating with internal services
  • Strong communication and stakeholder management; ability to influence technical and business teams
  • Demonstrated experience leading use of approved AI-assisted development tools and setting validation standards
  • Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching engineers on safe adoption
  • Experience building AI-enabled products (RAG patterns, embeddings, vector stores, evaluation harnesses)
  • Experience with event-driven systems (Kafka or similar) and distributed system design
  • Familiarity with containers and orchestration concepts (developer-level usage)
  • Experience mentoring engineers, leading design reviews, and setting coding standards

JPMorganChase Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.

  • Healthcare Strength Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
  • Parental & Family Support Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
  • Retirement Support Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

What We Do

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.

Why Work With Us

Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.

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