What are the responsibilities and job description for the Lead Software Engineer - Python/Pyspark/AWS position at JPMorgan Chase?
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 - Python/Pyspark/AWS at JPMorgan Chase within the Fusion Data Management team, 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
- 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, equity, 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
- Advanced in one or more programming language(s) including Python, Pyspark and AWS
- Excellent Python knowledge with experience with Web application frameworks such as Fast API
- Experience in building data pipelines using Python/Java/Pyspark
- Working knowledge in Python base rest API builds including Fast API; pipeline orchestration tools i.e. Argo, Airflow etc.
- Strong database skills with a thorough understanding of databases and data modelling concepts.
- Solid understanding in Object oriented programming concepts and Design patterns.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
- Knowledge of table formats i.e. Iceberg.
- Knowledge of libraries i.e. Polars, PyIceberg
- Knowledge of languages like Rust is a plus.
- Working knowledge in AWS and relevant cloud tools like Glue, Lambda
