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 Python/AWS at JPMorgan Chase within the Corporate Sector 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
- Develop innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards specifically with Azure AWS and AI Agentic frameworks
- Develop and implement stateoftheart GenAI services leveraging Azure OpenAI models and AWS Bedrock service.
- 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
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 5 years applied experience
- Handson practical experience delivering system design application development testing and operational stability
- Advanced in one or more programming language(s) including Python (fastAPI) Microservices API LLM and AWS EC2 ECS EKS Lambda SQS SNS RDS Aurora MySQL & Postgres DynamoDB EMR and Kinesis)
- 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
Preferred qualifications capabilities and skills
- Familiarity with modern frontend technologies
- Exposure to cloud technologies
- Background in machine learning deep learning and neural networks