JPMorgan Lead Software Engineer - Backend- Dining 

United States, New York, New York 

23563035

Job responsibilities

• Design, develop, and maintain scalable, robust, and secure Java Spring applications.
• Provide technical guidance and mentorship to a team of developers, ensuring best practices and high-quality code.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Architect and implement scalable and maintainable microservices and cloud-native applications.
• Ensure the performance, quality, and responsiveness of applications.
• Conduct code reviews, identify bottlenecks, and devise solutions to mitigate issues.
• Stay updated with the latest industry trends and technologies to ensure our applications leverage the best practices.
• Drive the adoption of DevOps practices, continuous integration, and continuous delivery (CI/CD) pipelines.
• Develop and maintain technical documentation.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in Java and/or Go
• Demonstrable knowledge of web architecture patterns (API design, data pipelines, design patterns)
• Comfortable working with large datasets and experience with ETL architectures
• Experience with AWS S3
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Experience in Python programming
• Experience with data lakes, delta lakes, data validation/ingesting/pipelines