Software Engineer III (Python/AuthE)

As a Software Engineer III at JPMorgan Chase within the Corporate sector, Data Visualization & BI 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. A core part of this role is enabling non-workforce (external) users to securely log in to internally built web reporting applications through Authentication Everywhere (AuthE), the strategic authentication & authorization platform for non-workforce users. You’ll work in a build + run model, owning features end-to-end and partnering with infrastructure and security teams to keep services reliable in production. 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 Rapidly prototype and iterate on automation and integration approaches using AI-assisted workflows (e.g., scaffolding services, generating tests, drafting technical documentation) to shorten delivery timelines and increase throughput. Implement and support AuthE-based login for non-workforce users accessing internally built web reporting applications (human interactive authentication) Configure and troubleshoot AuthE-supported authentication patterns and flows used by the application (e.g., OAuth 2.0 / OIDC and/or SAML federation, depending on the chosen pattern) Support access and entitlement management workflows and user access issue resolution tied to external reporting access 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 Python and Django and database querying languages Experience building REST APIs using Django REST Framework Cloud experience (AWS, Cloud Foundry, or similar) 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 AuthE capabilities used for external login (e.g., username/password + OTP, federated SSO via SAML, OAuth 2.0 authorization code flow) Experience automating BI platforms (Tableau, ThoughtSpot, Cognos, Qlik) Experience building internal enterprise tools Familiarity with MySQL Experience integrating with infrastructure automation tools (e.g., Gaia, Jenkins)