Lead Software Engineer Python

JPMorgan Chase & Co.; Houston (TX); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Houston is seeking a Lead Software Engineer to join CORPORATE SECTOR - CORPORATE TECHNOLOGY. You will lead an agile team, deliver cloud-native microservices, and drive AI-assisted engineering practices for secure, scalable solutions.

The role emphasizes end-to-end delivery, domain modeling, and collaboration across business functions to support the firm's objectives.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of applied software development experience.

Responsibilities

• Execute creative software solutions and troubleshoot complex problems.
• Deliver cloud-native, microservices-based applications with modern tech.
• Use domain modeling to build scalable, testable business products.
• Drive adoption of AI-assisted engineering practices and secure coding standards.
• Leverage SDLC tools, including AI-assisted development and automation.
• Lead communities of practice to share new technologies.
• Promote diversity, inclusion, and respect within the team.
• Investigate and resolve issues promptly to prevent recurrence.
• Design scalable, zero-downtime releases with robust data performance.
• Build secure, reliable solutions using modern architectural patterns.

Skills

Python

Flask

Django

React

TypeScript

JavaScript

HTML

CSS

AWS

Azure

GCP

REST APIs

WebSockets

SQL

NoSQL

CI/CD

AI-assisted tooling

Tools

AI-assisted development

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within CORPORATE SECTOR - CORPORATE TECHNOLOGY, you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.

• 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.

• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect.

• Promptly investigate and resolve issues, ensuring they do not resurface.
• Design and build solutions that avoid single points of failure using scalable architectural patterns.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.

• Proficiency in back-end technologies (e.g., Python, Flask, Django) with experience building microservices-based applications; front-end technologies (e.g., HTML, CSS, JavaScript, Typescript, React, Angular).
• Demonstrated ability to independently solve design and functionality challenges with minimal supervision.
• Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies, includingRESTful APIs and web services, WebSockets, and JSON.
• Hands‑on experience designing and building scalable applications using SQL and NoSQL databases.
• Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
• Understanding of application resiliency

• 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

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

• Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
• Strong problem-solving, analytical, and communication skills.
• Ability to drive broader impact by sharing and contributing best practices.
• Experience in the banking domain.
• AWS certification.