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

• Formal training or certification on software engineering concepts and advanced applied experience
• 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