As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector AIML Data Platforms -Fusion 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. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

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

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(11/17/21) on AWS
• Deep knowledge of AWS product/services and Kubernetes/container technologies and how they are best used for specific workloads.
• Ability to learn new technologies and patterns on the job and apply the same
• Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration.
• Experience in building out applications on AWS across multi AZ, multi region and multi-cloud vendor environments.
• Experience in building out real-world architectures that business engineering teams buy into and build their application around
• 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.
• Understanding of AI/ML.