> Markdown version of [/jobs/ext/1741268-lead-software-engineer-java-python-preferred](https://www.wearedevelopers.com/jobs/ext/1741268-lead-software-engineer-java-python-preferred). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Software Engineer - Java, Python preferred - **Company:** JPMorgan Chase & Co. - **Location:** Columbus, OH, United States - **Experience:** Expert - **Salary:** $123,500.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Applications, Automation of Tests, Cloud Computing, Software Quality, Code Review, Continuous Delivery, Continuous Integration, Data Distribution Service, Data Infrastructure, Database Queries, Python (Programming Language), Machine Learning, Scrum Methodology, Software Tools, Scaled Agile Framework, Secure Coding, Software Engineering, Software Systems, Strategies of Testing, Toolchain, Snowflake, Spring-boot, Pyspark, Production Code, Restful APIs, Code Restructuring, Data Pipelines, Databricks - **Published:** July 7, 2026 - **Apply:** https://www.careerjet.com/job/us67969a9417d2c9688ce3c88118f7f7ba/eaa ## About the Role * 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. ## Description 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., * 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. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Speeding up Web Apps performance with WebAssembly and Emscripten](https://www.wearedevelopers.com/videos/1985-speeding-up-web-apps-performance-with-webassembly-and-emscripten) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enterprise-Cloud-Native - Fast-Paced Development & Deployment in a Highly Secure Banking Environment](https://www.wearedevelopers.com/videos/671-enterprise-cloud-native-fast-paced-development-deployment-in-a-highly-secure-banking-environment) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)