Software Engineer III - AWM Technology

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 JPMorganChase within the Asset & Wealth Management Technology organization, 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.

As a Software Engineer III within Asset Management's Sales Experience Platform (SEP) Team, you will play a critical role in designing, developing, and maintaining large-scale data integration solutions that support complex enterprise environments.

You will leverage your hands-on expertise in production-grade Python, microservices, APIs, and AWS cloud technologies to deliver scalable, secure, and high-performance software solutions.

This role offers the opportunity to work on cutting-edge financial technology projects that drive business value and innovation in asset management.

Job Responsibilities


* Design, develop, and implement large-scale data integration solutions across complex enterprise systems to support asset management business needs.


* Build and maintain production-grade Python applications with a focus on reliability, scalability, and performance.


* Develop and consume microservices and APIs to enable seamless data flow and system interoperability.


* Utilize AWS cloud services to architect, deploy, and manage cloud-native applications and infrastructure.


* Collaborate with cross-functional teams including product owners, data architects, and business analysts to translate requirements into technical solutions.


* Participate in code reviews, testing, and continuous integration/continuous deployment (CI/CD) pipelines to ensure high-quality software delivery.


* Troubleshoot and resolve production issues, ensuring minimal downtime and optimal system performance.


* Contribute to the design and evolution of data models to support efficient data storage, retrieval, and processing.


* Engage in knowledge sharing and mentoring of junior engineers to foster a collaborative engineering culture.


* 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.

Required qualifications, capa...