Software Engineer III (Agentic AI/Java/AWS/Microservices)

JPMorgan Chase & Co.; Kentucky; On-site; USD 110,000 - 140,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III on the Consumer and Community Banking/Deposit 2.0 team to design, build, and deliver secure, scalable software in an agile environment.

You will contribute across the SDLC, applying modern programming languages, AI-assisted development tools, and rigorous testing to drive trusted, market-leading technology for the firm. You will collaborate across functions to ensure production quality and secure, resilient systems while delivering value to

Qualifications

• Formal training or certification in software engineering concepts.
• 5+ years of applied software engineering experience.
• Hands-on design, development, testing, and operational stability experience.
• Experience coding in modern programming languages and querying languages in large corporate settings.
• Experience using enterprise AI-assisted development tools with ability to evaluate AI outputs for correctness, performance, and security.
• Understanding of responsible AI use, data sensitivity, secure handling, resiliency and security expectations.
• Solid knowledge of the Software Development Life Cycle.
• Strong grasp of Agile methodologies including CI/CD, resiliency, and security.
• Experience using AI coding assistants and coaching teams to adopt these tools.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with ability to tackle non-routine problems.
• Creates secure, high-quality production code and maintains algorithms that run with supporting systems.
• Uses enterprise AI coding tools to improve code quality, delivery speed, and productivity with peer review and secure coding.
• Applies SDLC toolchain knowledge, including AI-assisted development, to boost automation value.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Gathers and analyzes large data sets, producing visualizations to inform continuous improvement of software.
• Identifies hidden data patterns to drive improvements in code hygiene and system architecture.

Skills

Formal training or certification in SW

5+ years experience

System design

Application development

Testing

Operational stability

AI-assisted development tools

Code review

Secure coding

SDLC knowledge

CI/CD

Security

Agile methodologies

AI coding assistants

Education

Formal training or certification in software engineering

Tools

GitHub Copilot

Cursor

Claude

Jenkins

SonarQube

Maven

JUnit

Mockito

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 Banking/Deposit 2.0 team, 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.
• 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.
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience using AI coding assistants (GitHub Copilot, Cursor, Claude, etc.) to accelerate development cycles, and ability to coach teams to adopt these tools as standard practice.
  

Preferred qualifications, capabilities, and skills

• Experience creating scalable microservices using Java, Spring Boot, Kafka for financial services; utilizing CI/CD toolsets, including GIT, Maven, Jenkins, SonarQube, Junit, and Mockito to develop high-quality software
• Experience in AWS services (ECS, VPC, S3, IAM, Lambda, Aurora Postgres, Route53, ELB, API Gateway), Terraform for Infrastructure as Code (IaC), and practical cloud-native experience.