Lead Software Engineer - Python, API Design, Pytest

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 Commercial and Investment Bank's Index Research AD Group, 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

• Execute 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
• Develop secure high-quality production code and reviews and debugs code written by others
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead 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
• Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Add to team culture of diversity, equity, inclusion and respect

• Formal training or certification on software engineering concepts and 5+ years applied experience
• 10+ years of experience in Information Technology with an emphasis on application design development and maintenance.
• Hands-on practical experience delivering system design, application development, testing and operational stability
• Proficient in Python and related technologies.
• Exposure to Pytest and BDD testing Frameworks.
• Proven experience with Panda libraries and FASTAPI.
• Practical cloud native experience and hands-on experience with Docker
• Proficiency in automation and continuous delivery methods and experience in developing, debugging and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

• Familiarity with modern front-end technologies
• Exposure to cloud technologies
• Kubernetes is a good to have