Lead Software Engineer - IP FS Data Protection and Recovery

JPMorgan Chase & Co.; Houston (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Lead Software Engineer in Houston to drive secure, scalable software solutions within Infrastructure Platforms Foundational Services Data Protection and Recovery.

You will contribute as a core technical member, shaping architectures and delivering trusted technology while aligning across global teams. Responsibilities include developing production-grade code, integrating AI-assisted practices, and guiding the team through SDLC tools and secure coding standards to

Qualifications

• Strong background in software engineering with practical experience across design, development, testing, and operations.
• Advanced knowledge of Python programming and modern CI/CD practices.
• Experience with AI-assisted development tools and guidance on safe, correct AI outputs.

Responsibilities

• Executes creative software solutions and technical troubleshooting beyond routine approaches.
• Develops secure, high-quality production code and reviews peers' work.
• Leads adoption of AI-assisted engineering practices for code quality and delivery speed.
• Applies SDLC tools to improve automation and value delivery.
• Identifies opportunities to automate recurring issues for stability.
• Leads technical evaluations with external vendors and internal teams on architecture.
• Promotes cross-team collaboration to ensure global alignment.

Skills

Python

CI/CD

AI-assisted development

Tools

FASTAPI

MongoDB

Jenkins

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 Infrastructure Platforms Foundational Services Data Protection and Recovery Product Line, 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
• Leads collaboration between technology teams to ensure global alignment.

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) - Python, Jules/Jenkins deployment
• 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
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in Backend API using FAST API
• Advanced knowledge in databases as NoSQL (Mongo DB)
• Strong understanding of Infrastructure technologies - Storage, Compute and Network