DescriptionWe have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector AI/ML Data Platforms team youare an integral part of an agile team that works to enhance build and deliver trusted marketleading 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 firms 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 highquality 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 outcomesoriented 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 leadingedge technologies
- Adds to team culture of diversity equity inclusion and respect
- Creates secure and highquality production code and maintains algorithms that run synchronously with appropriate systems
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Collaborate with crossfunctional teams to define design and ship new features in Python.
- Optimize Python applications for maximum speed and scalability.
- Utilize Java and AWS to support and enhance the primary Python development tasks.
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and advanced applied experience
- Handson practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- 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.
- Indepth knowledge of the financial services industry and their IT systems
- Practical cloud native experience