As a Software Engineer III - Java Full Stack Developer + GenAI / LLM + 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 and develop full-stack software solutions using modern engineering approaches and patterns.
- Build and integrate AI-driven capabilities, including LLM-based services, orchestration, and workflow integrations.
- Develop and maintain cloud-native microservices and APIs (REST/streaming) with strong focus on scalability, resilience, and security controls.
- Identify and automate solutions for recurring operational issues to improve system stability and observability (logs/metrics/tracing).
- Collaborate in a Scrum/Agile team, participate in ceremonies, and contribute to a culture of diversity, opportunity, and inclusion.
- Implement solutions primarily using Java, Spring Boot, and Python (AWS Lambda), building microservices and Camunda workflow orchestration deployed on AWS ECS, backed by PostgreSQL.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards.
-
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.
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Strong application development skills with exposure to operational stability in production environments and hands-on experience in Java Full Stack Development.
- Experience with system design fundamentals, microservices patterns, and API development (RESTful and/or streaming).
- Experience with distributed systems and at least one major cloud platform (AWS, GCP, or Azure)
- Proficiency with data technologies (relational and/or NoSQL) and common observability practices.
- Practical familiarity with LLMs / generative AI concepts and use cases (e.g., RAG, tool/prompt orchestration, guardrails/evaluation); working knowledge of Python for AI/ML integrations.
- Overall knowledge of the Software Development Life Cycle, and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Familiarity with Docker, Kubernetes, Helm, modern CI/CD practices, multi-region service deployments, and zero-downtime release strategies.
- Strong communication skills, ownership mindset, proactive approach to continuous improvement, and a track record delivering scalable, reliable, and secure products from concept to launch.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations.
- Cloud certification in AWS, GCP, or Azure.
- Working knowledge of Python (for AI/ML integrations) is a plus.
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices.
- Experience with multi-region service deployments and zero-downtime release strategies.
- Strong communication skills, ownership mindset, and a proactive approach to continuous improvement.
- Track record delivering scalable, reliable, and secure products from concept to launch.
- Working knowledge of Python (for AI/ML integrations) is a plus.
Skills Required
- Formal training or certification in software engineering concepts
- 3+ years of applied software engineering experience
- Hands-on Java full-stack development experience
- Application development experience in production environments
- Experience with system design fundamentals, microservices patterns, and RESTful or streaming API development
- Experience with distributed systems and at least one major cloud platform such as AWS, GCP, or Azure
- Proficiency with relational or NoSQL data technologies
- Familiarity with observability practices
- Practical familiarity with LLMs and generative AI concepts, including RAG, orchestration, guardrails, or evaluation
- Working knowledge of Python for AI/ML integrations
- Knowledge of the software development lifecycle and Agile methodologies
- Understanding of CI/CD, application resiliency, and security
- Familiarity with Docker, Kubernetes, Helm, multi-region deployments, and zero-downtime release strategies
- Strong communication skills, ownership mindset, and proactive approach to continuous improvement
- Experience delivering scalable, reliable, and secure products from concept to launch
- Hands-on experience with enterprise-authorized AI-assisted software development tools and validating their outputs
- Understanding of responsible AI use, data sensitivity, and secure handling of AI inputs and outputs
- Cloud certification in AWS, GCP, or Azure
- Working knowledge of Python for AI/ML integrations
- Familiarity with Docker, Kubernetes, Helm, and modern CI/CD practices
- Experience with multi-region service deployments and zero-downtime release strategies
- Strong communication skills, ownership mindset, and proactive continuous improvement
- Track record delivering scalable, reliable, and secure products from concept to launch
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
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.
Gallery
