Lead Software Engineer- Python Full Stack

JPMorgan Chase & Co.; Houston (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

JPMorganChase is seeking a Lead Software Engineer in the Corporate Sector to join an agile team delivering trusted market-leading technology products in a secure, scalable way. The role focuses on creating innovative solutions, advancing secure production code, and guiding AI-assisted engineering practices across the SDLC.

You will contribute as a core technical developer across multiple areas, driving improvements in code quality, delivery speed, and operational stability while collaborating

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced in one or more programming language(s).
• Demonstrated experience leading effective use of AI-assisted software development tools with validation of outputs for correctness, performance and security.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting with ability to think beyond routine approaches.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
• Applies knowledge of SDLC tools, including AI-assisted development and automation to improve automation value.
• Identifies opportunities to automate remediation of recurring issues to improve stability of software applications.
• Leads evaluation sessions with external vendors, startups, and internal teams to assess architectural designs and applicability within existing systems.

Skills

Python

Software design

Agile methodologies

CI/CD

Cloud

Security

AI-assisted development

Team leadership

Code reviews

Operational stability

Education

Formal training/certification in software engineering

Tools

AI-assisted development tools

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 the Corporate Sector, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems


• Develops secure and high-quality production code, and reviews and debugs code written by others


• 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.


• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

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


• Hands-on practical experience delivering system design, application development, testing, and operational stability


• Advanced in one or more programming language(s)


• Demonstrable expertise to code in Python


• Experience across the whole Software Development Life Cycle


• Expertise in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages


• 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 knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)


• 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


• Proficient in all aspects of the Software Development Life Cycle


• Advanced understanding of agile methodologies such as Continues Integration and continues develoop, Application Resiliency, and Security


• In‑depth knowledge of the financial services industry and their IT systems


• Practical cloud native experience

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies: UI, React


• Exposure to cloud technologies: AWS


• Exposure to Banking/Finance or Risk domains