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 JPMorgan Chase within the AI/ML & Data Platforms team, you are a core technical contributor and are responsible for creating 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
⦁    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, equity, inclusion, and respect
⦁    Provide insightful code reviews and take ownership of outcome
⦁    Heavily uses Python, Snowflake and AWS technologies
⦁    Develop and communicate Product vision that supports the broader organizational vision; ensure team culture consistently demonstrates alignment with leadership principles.
⦁    Leading a team of junior developers, including talent sourcing and development initiatives.
 

Required qualifications, capabilities, and skills

10+ years of experience in software engineering and design Hands-on practical experience delivering system design, application development, testing, and operational stability Fluency in Python  Proficient in all aspects of the Software Development Life Cycle Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security In-depth knowledge of the financial services industry and their IT systems Practical AWS cloud native experience