Description Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorganChase within the Corporate Technology AIML Data Platform, 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, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and proficient advanced experience Hands-on practical experience delivering system design, application development, testing, and operational stability 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.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Hands-on experience building containerized applications using Microservices architecture, Java, Spring framework, Maven Practical AWS experience, including EKS, Dynamo and Messaging services Ability to solve data-oriented problems using multiple relevant technologies e.g. AWS Dynamo, SQS, SNS while optimizing for performance Experience leveraging AI tools and technologies to enhance coding and development processes, such as using AI-driven code assistants or automated testing frameworks Proven track record of continuous improvement Preferred qualifications, capabilities, and skills Proven experience in designing, building and supporting large distributed systems Certifications in target areas (AWS / Kubernetes etc) Experience of Java Reactive Stream programming