Join our Data Platform Technology Engineering team as a Senior Java Developer, where you'll play a pivotal role in developing our data platform applications on AWS. Collaborate closely with business and product teams to build robust core framework and data transformation functionalities that support complex business needs. Your expertise will guide our transition to the public cloud, focusing on AWS product utilization, authentication and authorization best practices, certificate management, performance optimization, and database migration tools. 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 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 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. Real world 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 (. 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 Good understanding of Big Data stack (Spark/Iceberg) Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS and process orchestration. Understanding of AI/ML