What are the responsibilities and job description for the Senior Lead Software Engineer - Java/Python position at JPMorgan Chase?
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorganChase within the Corporate Sector, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Serves as a function-wide subject matter expert in one or more areas of focus
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 12 years applied experience
- Experience in delivering system design, (design patterns, reliability and scaling), application development, testing and support.
- Proficiency in Java, Python programming language
- Strong stakeholder management and communication skills
- Excellent analytical skills (i.e. problem solving)
- Experience dealing with growing data ingestion, data management and data analytics.
- Disciplined approach to code management, testing and deployment practices
- Self-starter with the ability to quickly pick up new ideas, concepts and technologies
Preferred qualifications, capabilities, and skills
- AWS, LLM.
- Data Integration and Analytical skills