Design and deliver market-leading technology products in a secure and scalable way as a seasoned member of an agile team
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking on the BBAO team, you will design, build, and support scalable backend services, APIs, and modern UI applications that enable seamless customer acquisition and account origination journeys. You’ll work hands-on across the full software development lifecycle, partner with cross-functional stakeholders, and apply strong engineering practices (testing, CI/CD, observability, and secure development) to deliver resilient, high-quality solutions. You’ll also have opportunities to contribute to AI-enabled capabilities and agent-driven tools that improve customer and employee experiences.
Job Responsibilities:
Design, develop, and maintain full stack solutions, including Java/Spring Boot backend services, RESTful microservices, and modern UI applications using React or Angular.
Build secure, high-performing APIs, integrations, and user interfaces; contribute to service reliability, resiliency, and performance tuning.
Collaborate daily with Product, Design, and Data & Analytics to refine requirements, estimate work, and deliver iteratively using Agile practices.
Write clean, maintainable code with strong unit/integration test coverage; participate in code reviews and design discussions.
Support and improve CI/CD pipelines and engineering automation; champion best practices in quality and developer productivity.
Contribute to production support: troubleshooting, incident triage, root-cause analysis, and preventative improvements.
Participate in application, data, and infrastructure architecture conversations and help evolve platform standards.
Leverage 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; contribute learnings and reusable patterns to improve broader team effectiveness.
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.
Required qualifications, skills, and capabilities:
Formal training or certification on software engineering concepts and 3+ years applied experience
Proficiency in Java and Spring Boot, including building and operating REST APIs and microservices; strong Java 8 (lambdas/streams) + React/Angular full-stack development experience
Experience with modern Agile delivery practices (Scrum/Kanban), CI/CD, and DevOps-aligned development (automated quality gates, release pipelines)
Experience with cloud and/or container platforms (e.g., AWS or Cloud Foundry, Docker/Kubernetes)
Working experience with databases: Oracle and/or NoSQL datastores such as Cassandra or MongoDB (data modeling, query performance, reliability)
Experience developing Kafka producers/consumers in Java
NoSQL experience: Cassandra / DynamoDB / Elastic Search
Strong quality mindset (TDD, automation) and ability to lead design/code reviews and mentor engineers
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, skills, and capabilities:
Cross-team delivery leadership, PCI exposure, AWS cert
AI/LLM experience (integrations, agentic workflows, RAG/tool-calling, tool/function calling, responsible AI fundamentals/basics) a plus
Skills Required
- Formal training or certification in software engineering concepts
- 3+ years of applied software engineering experience
- Proficiency in Java and Spring Boot, including REST APIs and microservices
- Java 8 experience with lambdas and streams
- React or Angular full-stack development experience
- Experience with Agile delivery practices, including Scrum or Kanban
- Experience with CI/CD and DevOps-aligned development
- Experience with cloud or container platforms such as AWS, Cloud Foundry, Docker, or Kubernetes
- Database experience with Oracle or NoSQL datastores, including data modeling, query performance, and reliability
- Experience developing Kafka producers and consumers in Java
- NoSQL experience with Cassandra, DynamoDB, or Elasticsearch
- Strong quality mindset with TDD and automation experience
- Ability to lead design and code reviews and mentor engineers
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Cross-team delivery leadership
- PCI exposure
- AWS certification
- AI or LLM experience, including integrations, agentic workflows, RAG, or tool calling
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.
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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.
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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.
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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
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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