JPMorgan Senior Lead Software Engineer - Platform Engineering 

United States, New Jersey, Jersey City 

727959485

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure and high-quality production code, and reviews and debugs code written by others.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
• Adds to the 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.
• Experience building complex distributed systems using Java (11/17) on AWS
• Deep knowledge of AWS product/services and Kubernetes/container technologies and how they are best used for specific workloads.
• Ability to quickly learn and apply new technologies and patterns.
• Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.
• Real world experience in building out applications on AWS across multi AZ, multi region and multi-cloud vendor environments.
• Experience in designing practical architectures that business engineering teams adopt for application development.
• An excellent understanding of modern engineering practices to take advantage of key benefits of Public Cloud (e.g. auto-scaling)
• A mindset geared towards a fantastic end-to-end engineering experience supported by excellent tooling and automation.
• Hands-on practical experience delivering system design, application development, testing, and operational stability.
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field.

Preferred qualifications, capabilities, and skills

• Understanding of Big Data stack (Spark/Iceberg)
• Understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.