As a Software Engineer III at JPMorgan Chase within the Network Services 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
•    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.

Required qualifications, capabilities, and skills
•    Formal training or certification on software engineering concepts and 3+ years applied experience 
•    Strong Python development skills, including writing well-tested, maintainable code
•    Experience building and maintaining APIs using Django and/or FastAPI (or similar frameworks)
•    Strong system design skills across distributed services, data stores (relational and NoSQL), and messaging systems (for example, RabbitMQ)
•    Practical experience running services in the cloud, including Amazon Web Services patterns and services
•    Solid understanding of secure software development lifecycle practices, continuous integration/continuous delivery, and operational excellence (monitoring, alerting, incident response, resiliency)
•    Demonstrated ability to lead through influence via code reviews, technical decision-making, and mentoring within a team
•    Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• 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
•    Infrastructure as Code experience (Terraform preferred)
•    Experience with content delivery network, web application firewall, and edge security providers (for example, Cloudflare or Akamai)
•    Familiarity with modern front-end development using React
•    Experience using AI-assisted coding and design tools in production environments with appropriate security and quality controls
•    Experience building in regulated environments and delivering to strong risk and security controls