Senior Software Engineer III - Scalable, AI-Driven Cloud

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 100,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Software Engineer III to join an Agile team and design, develop, and deliver trusted technology products in a secure, scalable way.

You will work on critical technology across multiple domains, build production code, and leverage AI-assisted tools to improve quality and speed while maintaining security and reliability.

Qualifications

• Formal training or certification in software engineering; 3+ years of applied experience.
• Experience in design, development, testing, and operational stability in a large corporate environment.
• Experience with enterprise-grade programming languages and database querying languages.

Responsibilities

• Execute software solutions with outside-the-norm problem solving to deliver robust software.
• Produce secure, high-quality production code and maintain scalable algorithms.
• Leverage enterprise AI coding assist tools to improve quality, speed, and productivity with peer review and tests.

Skills

Java

Spring

Hibernate

REST APIs

GraphQL

CI/CD

Security

AWS

AI-assisted development

Tools

Copilot/Claude

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 Asset Management, 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 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 one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted (Copliot or Claude) 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
• Experience with Hibernate and Spring JPA coupled with database design (AWS Postgres) best practices to build solid services that can scale to support multiple global regions
• Experience building scalable Rest APIs, knowledge of GraphQL
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Knowledge and experience using Kafka is a big plus. Expertise in Avro design, AVRO schema registry, partitioning of Kafka topics, exception handling
• Familiarity with modern front-end technologies using React.
• Exposure to public cloud technologies - AWS