Lead Software Engineer - Python

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorganChase, within Infrastructure Platforms, seeks a Lead Software Engineer to advance trusted technology products in a secure, scalable way. You will be a core technical contributor across multiple areas, shaping design and delivering production-ready software in an agile team.

The role emphasizes AI-assisted development adoption, secure coding practices, and collaboration with external vendors and internal teams to drive architecture outcomes and engineering excellence.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong experience with Python, Django, JavaScript and SQL.
• Demonstrated experience leading effective use of AI-assisted development tools with validation of outputs.
• Understanding of responsible AI use in engineering workflows and secure practices.
• Hands-on experience delivering system design, development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Advanced understanding of agile methodologies (CI/CD, resiliency, security).
• Experience with cloud, AI/ML, and regulated financial environments.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure high-quality production code and reviews others' code.
• Identifies opportunities to reduce recurring issues and improve stability.
• Drives adoption of AI-assisted engineering practices and validates AI outputs.
• Applies SDLC toolchain knowledge to improve automation value.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice to promote new technologies.
• Supports a culture of diversity, inclusion, and respect.

Skills

Python

Django

JavaScript

SQL

AI-assisted tooling

CI/CD

Agile methodologies

Tools

Tableau

Alteryx

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 Infrastructure Platforms(IP) youare 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 break down technical problems.
• Develops secure high-quality production code, and reviews and debugs code written by others.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• 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 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.
• 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.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Strong experience with Python, Django, JavaScript and SQL.
• 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.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Proficiency in automation and continuous delivery methods.
• Proficient in all aspects of the Software Development Life Cycle.
• Advanced understanding of agile methodologies such as CI/CD pipelines, 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.).
• In-depth knowledge of the financial services industry and their IT systems.
• Practical cloud native experience.

Preferred qualifications, capabilities, and skills.

• Experience with infrastructure-as-code or cloud deployment automation.
• Experience with performance tuning, resiliency testing, monitoring, logging, and alerting.
• Experience working in highly controlled or regulated technology environments.
• Experience with security, identity, access, fraud, trust, risk, or customer protection platforms.
• Experience with BI tooling such as Tableau.
• Experience with Alteryx.