Software Engineer III - Java Full Stack Developer + Python + AWS

Posted An Hour Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Mid level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Develop and maintain scalable full-stack applications using Java, Spring Boot, React, Python, and AWS. Build cloud-native solutions, integrate generative AI and LLM capabilities, and use authorized AI development tools responsibly. Participate in design, code reviews, testing, troubleshooting, CI/CD, automation, and operational remediation. Collaborate with cross-functional teams, apply secure development practices, and guide peers in validating AI-generated outputs. The role requires experience with databases, messaging, containers, Kubernetes, and enterprise software development.
Summary Generated by Built In
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 
As a Software Engineer III - Java Full Stack Developer + Python + AWS at JPMorgan Chase within the Commercial & Investment Bank, you'll serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. 
Job responsibilities
  • Design, develop, and maintain scalable and robust applications using Java, Spring Boot and React.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Implement cloud-native solutions on AWS, ensuring high availability, scalability, security and Engage in prompt engineering for LLMs and write Python scripts. 
  • Utilize AI tech tools such as GitHub Copilot and MCP servers to enhance productivity and code quality.
  • 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.
  • Participate in code reviews, providing constructive feedback to peers.
  • Troubleshoot and resolve complex technical issues across the application stack.
  • Stay up-to-date with emerging technologies and industry trends, and apply them to improve existing systems and processes.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
  • 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.


Required qualifications, capabilities, and skills
 
  • Formal training or certification on software engineering concepts and 3+ years applied experience 
  • Proven experience in software development using Core Java, REST, Spring Boot, Spring modules, Hibernate, Junit and Mockito.
  • Experience in UI technologies like jQuery, HTML, React and Strong skills around design principles and design patterns with the ability to troubleshoot and debug an application for any application issues.
  • Strong understanding of cloud platforms - AWS and experience deploying applications in a cloud environment.
  • Experience with CI/CD pipelines, containerization (Docker, Kubernetes), version control systems (Git) and messaging and integration frameworks like Kafka.
  • Experience in writing SQL queries, database management concepts, JDBC, and persistence API frameworks like Spring JPA.
  • Experience in AI/ML with focus on Generative AI, AI Agents Framework like Lang chain and Lang graph, Python, LLMs, RAG, Prompt engineering.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
  • Strong communication skills, both written and verbal, with the ability to articulate complex technical concepts to non-technical stakeholders and Ability to multi-task and also work independently in order to meet the committed deadlines and Knowledge in Spec Driven development architecture.
  • Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.


Preferred qualifications, capabilities, and skills
 
  • Platform engineering experience
  • Good knowledge in Syndicated deals
  • Experience in the financial services industry or a similar regulated environment.

Skills Required

  • Formal training or certification in software engineering concepts
  • At least 3 years of applied software engineering experience
  • Core Java software development experience
  • REST, Spring Boot, Spring modules, Hibernate, JUnit, and Mockito experience
  • UI development experience with jQuery, HTML, and React
  • Strong understanding of software design principles and design patterns
  • Application troubleshooting and debugging experience
  • AWS and cloud application deployment experience
  • CI/CD pipeline experience
  • Docker and Kubernetes containerization experience
  • Git version control experience
  • Kafka and messaging or integration framework experience
  • SQL query writing and database management knowledge
  • JDBC and persistence API experience, including Spring JPA
  • Generative AI and AI/ML experience
  • Experience with LangChain or LangGraph AI agent frameworks
  • Python, LLM, RAG, and prompt engineering experience
  • Strong problem-solving and independent and collaborative work skills
  • Strong written and verbal communication skills
  • Ability to manage multiple tasks and meet deadlines
  • Knowledge of specification-driven development architecture
  • Hands-on experience with enterprise-authorized AI-assisted software development tools
  • Ability to evaluate and validate AI-generated outputs for correctness, performance, and security
  • Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
  • Ability to guide peers on safe and effective AI tool usage
  • Platform engineering experience
  • Knowledge of syndicated deals
  • Financial services or similar regulated-environment experience

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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

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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