Software Engineer III (Agentic)

JPMorgan Chase & Co.; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is hiring a Software Engineer III in New York for a role within the Digital Channels division of Consumer and Community Bank. You will contribute to designing and delivering trusted, scalable technology products with secure coding practices and robust testing.

You will lead backend development, participate in architecture reviews, optimize performance, and mentor junior engineers while collaborating with cross-functional teams.

Qualifications

• 3+ years of software engineering experience.
• Experience designing distributed systems using Java.
• Experience building RESTful and event-driven microservices with Spring Boot/Cloud.
• Familiar with containers and CI/CD pipelines.

Responsibilities

• Executes software solutions, design, development and troubleshooting.
• Creates secure, high-quality production code and maintains algorithms.
• Own end-to-end delivery of complex backend components.
• Participate in design reviews and architecture discussions.
• Mentor junior engineers through code reviews and guidance.

Skills

Java

RESTful microservices

Spring Boot

Kafka/RabbitMQ

NoSQL/SQL databases

Docker/Kubernetes

CI/CD

AI-assisted tools

Mentoring

Education

Formal training in software engineering

Tools

Docker

Kubernetes

Job description

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorganChase within the Consumer and Community Bank, Digital Channels divison, you 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

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate 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.
• Own end-to-end delivery of complex backend components
• Participate actively in design reviews and architecture discussions
• Identify performance bottlenecks and propose optimizations
• Mentor junior engineers through code reviews and technical guidance
• Strong problem-solving and debugging skills
• Ability to work independently on ambiguous problems
• Clear technical communication with peers and stakeholders
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience in designing and developing distributed systems using Java
• Experience in building RESTful and event-driven microservices using Spring Boot / Cloud
• Knowledge on asynchronous communication using messaging/streaming systems (Kafka, RabbitMQ, or equivalents)
• Ability to design and optimize data models either in relational or NoSQL databases
• Ability to handle data consistency, replication and transactional boundaries
• Familiar with containerization and orchestration tools: Docker, Kubernetes
• Knowledge on integration with CI/CD pipelines for automated build, test, and deployment
• 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

• Advanced knowledge of application, data, and infrastructure architecture disciplines
• Working knowledge on Co-Pilot
• Familiarity with modern front-end technologies
• Exposure to cloud technologies