Python- AI Software Engineer III

Software Engineer IIIYou're ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer III at JPMorgan Chase within the Corporate Sector, you will design, build, and maintain scalable backend data engineering solutions that power critical financial reporting and analytics capabilities across the firm. You will work closely with cross-functional teams to deliver high-quality, reliable data pipelines and platform modules that support data-driven financial decision-making at enterprise scale. Your work will directly influence how the firm processes, manages, and leverages financial data to serve millions of customers and stakeholders every day.
Job responsibilitiesExecute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down complex technical problemsCreate secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems, with a focus on Python backend development and PySpark-based data processingBuild, deploy, and support scalable data engineering modules on Databricks, ensuring reliable performance, maintainability, and alignment with platform architecture standardsLeverage 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; contribute learnings and reusable patterns to improve broader team effectivenessApply 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 automationProduce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code developmentGather, analyze, synthesize, and develop visualizations and reporting from large, diverse financial data sets in service of continuous improvement of software applications and systemsProactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architectureParticipate in code reviews, providing and incorporating constructive feedback to continuously elevate code quality and engineering standards across the teamCollaborate with product managers, architects, and cross-functional engineering teams to translate finance business requirements into scalable technical solutionsRequired qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 3+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languagesProficiency in Python backend development with hands-on experience building and optimizing PySpark data pipelines in production environmentsDemonstrated experience with Databricks, including module development, deployment, and ongoing operational supportHands-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 securityUnderstanding 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 practicesSolid understanding of databases (Snowflake, Databricks, SQL, DB2 or NOSQL)Preferred qualifications, capabilities, and skillsExperience with Apache Spark, Kafka, or similar distributed data processing frameworks in a large-scale enterprise environmentExposure to cloud-native development and AWS services, particularly AWS EMR, Glue, ECS, EKS (Elastic Kubernetes Service) for deploying and managing containerized applicationsExposure to AI/ML data platformsAbout UsChase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer
a competitive total rewards package including base sa