Lead Software Engineer
2 hours ago
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
AAs a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank organization, you will play a crucial role as part of an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner.
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, 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
- Expertise in React for front-end development
- Hands-on coding experience in back-end technologies including Python
- 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.)
- Hands-on coding experience in back-end technologies such as Java
- Experience in Artificial Intelligence (AI) Model development such as Generative AI (GenAI) and large language models (LLM)
- Proficient knowledge of cloud technologies such as AWS, GCP, or Azure
- In-depth knowledge of the financial services industry and their IT systems
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