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 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