✨ AI Summary
We are seeking a seasoned Software Engineer III to join the Consumer & Community Banking - Digital Credit Journey team at JPMorgan Chase. In this role, you will be responsible for designing and delivering secure, stable, and scalable technology products within an agile environment. Your duties will include executing software solutions, design, development, and technical troubleshooting, creating high-quality production code, and maintaining algorithms. You will leverage enterprise-authorized AI coding assist tools to enhance code quality and delivery speed, while also producing architecture and design artifacts and gathering/analyzing data for continuous improvement.
The ideal candidate will have formal training or certification in software engineering with at least 3 years of applied experience. Essential qualifications include hands-on experience in system design, application development, testing, operational stability, and coding in Java/Spring Boot with database querying languages. Experience with Kafka messaging, event-driven API design, and AWS services such as ECS, VPC, S3, IAM, Lambda, Route53, NLB, ALB, and API Gateway is required. A strong understanding of the Software Development Life Cycle, agile methodologies, and the ability to critically evaluate and validate AI-generated outputs are also necessary.
🎁 Benefits & Perks
Comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching.
Requirements
Requires formal training or certification on software engineering concepts and 3+ years of applied experience. Must have hands-on experience in system design, application development, testing, and operational stability, with proficiency in Java/Spring Boot, database querying, Kafka messaging, event-driven API design, and AWS services (ECS, VPC, S3, IAM, Lambda, Route53, NLB, ALB, API Gateway). Experience with enterprise-authorized AI-assisted software development tools and understanding of responsible AI use are also required, along with knowledge of the Software Development Life Cycle and agile methodologies.
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 & Community Banking - Digital Credit Journey 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
- A. Formal training or certification on software engineering concepts and 3+ 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 Java / Spring Boot and database querying languages
- Experience with Kafka messaging/streaming architectures, and event-driven API design at scale in production
- Hands-on AWS development experience with services such as ECS, VPC, S3, IAM, Lambda, Route53, NLB, ALB, API Gateway (and related cloud-native patterns).
- 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
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies including React
- Experience with Infrastructure-as-Code tooling (Terraform, CloudFormation, CDK)
- Certified in AWS (Developer Associate, Solutions Architect, or higher)