JPMorgan Chase, within Asset & Wealth Management, is looking for a Lead Software Engineer to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. The role aims to solve technical challenges by creating technology solutions that interact across multiple applications and to proactively identify and improve coding hygiene and system architecture.
Requirements
- 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
- Hands-on development experience in Python, PySpark, SQL, and AWS services
- Develop and optimize scalable data pipelines and applications using Python and PySpark, ensuring efficient data processing and transformation within the AWS cloud environment.
- Leverage a solid understanding of AWS services, such as S3 / EMR to design and implement robust data solutions that meet business requirements and enhance data accessibility and analytics capabilities.
- Demonstrated knowledge of software applications and technical processes within a cloud architecture.
- Exposure to cloud technologies (Step Functions, Lambda, Spark)
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
- Develop and optimize scalable data pipelines and applications using Python and PySpark, ensuring efficient data processing and transformation within the AWS cloud environment.
- Leverage a solid understanding of AWS services, such as S3 / EMR to design and implement robust data solutions that meet business requirements and enhance data accessibility and analytics capabilities.
Other
- Adds to team culture of diversity, opportunity , inclusion, and respect
- Demonstrated proficiency with working with a team of engineers and developers to ensure that the platform is engineered to be standardized, optimized, available, reliable, consistent, accessible, and secure to support business and technology needs
- Experience with interacting with partners across feature teams to collaborate on reusable services to meet solution requirements
- Experience in the Financial Service Industry is nice to have.
