Python Kubernetes Software Engineer Data Jobs in Dublin, OH

You will raise engineering standards through hands-on development, thoughtful design, and mentorship that helps the team grow.

As a Lead Software Engineer at JPMorganChase within Asset & Wealth Management, you will build and evolve modern platform capabilities that help advisors, clients, and operations teams deliver outcomes with speed, safety, and reliability. You will own end-to-end delivery of secure services and APIs, partnering closely with product and engineering peers across regions to solve complex business and technical problems. 

Job responsibilities

• Execute creative software solutions across design, development, and technical troubleshooting working as a senior developer individual contributor on a strategic client reporting and data platform.
• Engineer data pipelines, calculations, data distribution and reporting to be presented to Asset Management clients.
• Develop secure, high-quality production code, and mentor junior developers through code reviews, design sessions and knowledge sharing.
• Deliver technology solutions as part of an Agile Scrum team, contributing to sprint planning, complexity analysis, daily standups, and retrospectives to drive predictable outcomes.
• Partner with manager and Product Owner to use metrics to continuously improve practices to build a high performing team.
• Work directly with end users and Product Owners to communicate status, understand requirements, and ensure an understanding of how work aligns with business objectives.
• Collaborate with Scrum teams locally and across regions to share solutions, challenges, and best practices, improving consistency and delivery speed.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability and service reliability.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• 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

• Strong software engineering practices and 5+ years applied hands on experience.
• Track record of hands-on practical experience delivering system design, application development, testing, and operational stability.
• Strong Java skills with demonstrated Spring Boot and REST API development experience.
• Applied knowledge in data modeling and strong SQL skills.
• Proficiency in automation and continuous delivery methods (CI/CD).
• Proficiency across the Software Development Life Cycle, from design through build, test, release, and support.
• Advanced understanding of Agile engineering practices including continuous integration and delivery, application resiliency, and security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (for example, cloud, artificial intelligence, machine learning, or mobile).
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.

Preferred qualifications, capabilities and skills

• Experience building cloud-native solutions on Amazon Web Services.
• Python knowledge or a desire to learn independently.
• Knowledge of data pipeline tools such as PySpark, Snowflake, or Databricks.
• Financial services knowledge, with an understanding of how technology enables Asset & Wealth Management products and client experiences.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.