Lead Software Engineer - IP FS Data Protection and Recovery

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

Job summary

JPMorganChase is hiring a Lead Software Engineer to join the Infrastructure Platforms Foundational Services Data Protection and Recovery Product Line in Houston. You will contribute as a core technical owner, delivering secure, scalable software across multiple domains and collaborating with cross-functional teams.

The role emphasizes AI-assisted development, robust code quality, and adherence to enterprise SDLC practices, with guidance toward secure, resilient systems and strong engineering

Qualifications

• 5+ years of hands-on software engineering experience.
• Experience delivering system design, application development, testing, and operations.
• Proficiency in one or more languages, notably Python and related deployment tools.
• Proven use of AI-assisted software development tools with emphasis on correctness, performance, and security.

Responsibilities

• Executes creative software solutions and system design with complex problem solving.
• Develops secure, production-grade code and participates in code reviews and debugging.
• Drives adoption of AI-assisted engineering practices to improve quality and speed while enforcing secure coding standards.
• Leads exploration of architectural designs with internal and external stakeholders to ensure alignment across teams.

Skills

Python

Jenkins

AI-assisted tooling

CI/CD

Agile

Security

Tools

FAST API

MongoDB

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