Lead Software Engineer - AWS / Python / AI

JPMorgan Chase & Co.; Houston (TX); On-site; USD 120,000 - 200,000; Full time

Job summary

JPMorganChase Houston seeks a Lead Software Engineer to help build trusted market-leading technology products in a secure, scalable way within the Commercial & Investment Bank - Applied AL/ML team. You are a core technical contributor driving solutions across multiple domains to support the firm’s objectives.

As a senior engineer, you will lead development, reviews, and automation, promote responsible AI, and work with cross-functional teams to deliver reliable software systems at scale.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on experience in system design, application development, testing, and operational stability.
• Advanced experience in Python.
• Experience leading use of AI-assisted software development tools with code review and testing.
• Strong understanding of responsible AI, data sensitivity, and secure handling.
• Extensive experience building and running AWS/public cloud based apps.
• Proficiency in automation, CD/CI, and SDLC processes.
• Experience with data pipelines/DAGs for ML and analytics.
• Knowledge of the financial services IT landscape.

Responsibilities

• Executes creative software solutions, design, development, and troubleshooting.
• Develops secure high-quality production code and reviews peers' work.
• Drives adoption of AI-assisted engineering practices for faster delivery and quality.
• Identifies opportunities to automate remediation and improve stability.
• Leads evaluation sessions with vendors and internal teams on architecture.
• Leads communities of practice to promote new technologies.
• Adds to team culture of diversity, inclusion, and respect.

Skills

Python

AWS

AI-assisted tooling

SDLC

Education

Formal software engineering training

5+ years applied experience

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 Commercial & Investment Bank - Applied AL/ML team, 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 break down technical problems
• Develops secure 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 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
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced experience in Python
• 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
• Extensive experience in building and running AWS/public cloud based applications
• Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle
• Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.)
• In-depth knowledge of the financial services industry and their IT system