JPMorgan Lead Software Engineer - Python/Pyspark/AWS 

United States, New Jersey, Jersey City 

251211504

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

• 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