Software Engineer III- Python

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 Infrastructure Platforms 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 will help automate the DataCenter Fabric build end-to-end using an event-driven architecture, delivering high-quality automation products to internal stakeholders and partnering closely with engineers to drive innovation and operational excellence.
Job responsibilities
Executes software solutions, design, development,and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems—specifically for end-to-end Fabric build automation.
Creates secure and high-quality production code and maintains services that integrate reliably with upstream/downstream systems.
Develops and maintains microservice-based applications and APIs, ensuring performance, resiliency, and secure integration patterns.
Delivers high-quality features in every sprint through strong engineering practices (e.g., code review, automated testing, CI/CD, and operational readiness).
Takes ownership of bug fixes and addresses enhancement requirements based on internal stakeholder feedback.
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
Demonstrates and contributes to a team culture of diversity, opportunity, inclusion, and respect.
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 ensuring operational stability.
Strong proficiency in Python, including hands-on development with Django and/or Flask.
Hands-on experience building microservice-based applications and designing/developing APIs.
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming language(s) and database query language(s).
Experience deploying applications using CI/CD pipelines and modern deployment practices.
Good overall understanding of the Software Development Life Cycle (SDLC).
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
Familiarity with modern front-end technologies
Exposure to cloud technologies
Experience with cloud-based technologies; Kubernetes and Docker knowledge is a plus.
Good understanding of networking fundamentals; basic CCNA certification is a plus