Lead Software Engineer - DevOps- AWS, Python

As a Lead Software Engineer at JPMorgan Chase within our agile engineering team, you will architect, design, and deliver robust, market-leading technology solutions that are secure, stable, and scalable. You will play a pivotal role in driving critical technology initiatives across multiple domains, supporting the firms strategic business objectives. Your expertise will be instrumental in elevating our engineering standards and fostering innovation within the organization. - Lead the design, development, and implementation of scalable platform solutions, leveraging advanced troubleshooting skills and innovative approaches to address complex infrastructure and integration challenges. - Develop and maintain high-quality, secure production code and automation scripts, ensuring seamless integration and reliability across enterprise platforms and infrastructure. - Produce comprehensive architecture and design documentation for complex applications, ensuring all design constraints and best practices are adhered to throughout the software development lifecycle. - Gather, analyze, and synthesize large, diverse data sets to develop actionable visualizations and reporting, driving continuous improvement of software applications and system performance. - Proactively uncover hidden issues and patterns within data, leveraging insights to enhance coding standards, system architecture, and overall application resiliency. - Contribute to internal software engineering communities of practice, actively participating in events and initiatives that explore emerging technologies and industry trends. - Champion a team culture rooted in diversity, inclusion, respect, and opportunity, mentoring junior engineers and fostering a collaborative environment. - Formal training or certification in software engineering concepts, with a minimum of 7 years of hands-on experience in system design, application development, testing, and operational stability within large-scale corporate environments. - Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages. - Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including the design and implementation of scalable data storage architectures. - Proven track record in deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3. - Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog. - Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines. - Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices. - Demonstrated expertise in software applications and technical processes within disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies. JPMorgan Chase is committed to fostering an inclusive and innovative environment. We welcome experienced professionals who are passionate about technology and eager to drive impactful change. As a Lead Software Engineer at JPMorgan Chase within our agile engineering team, you will architect, design, and deliver robust, market-leading technology solutions that are secure, stable, and scalable. You will play a pivotal role in driving critical technology initiatives across multiple domains, supporting the firms strategic business objectives. Your expertise will be instrumental in elevating our engineering standards and fostering innovation within the organization. - Lead the design, development, and implementation of scalable platform solutions, leveraging advanced troubleshooting skills and innovative approaches to address complex infrastructure and integration challenges. - Develop and maintain high-quality, secure production code and automation scripts, ensuring seamless integration and reliability across enterprise platforms and infrastructure. - Produce comprehensive architecture and design documentation for complex applications, ensuring all design constraints and best practices are adhered to throughout the software development lifecycle. - Gather, analyze, and synthesize large, diverse data sets to develop actionable visualizations and reporting, driving continuous improvement of software applications and system performance. - Proactively uncover hidden issues and patterns within data, leveraging insights to enhance coding standards, system architecture, and overall application resiliency. - Contribute to internal software engineering communities of practice, actively participating in events and initiatives that explore emerging technologies and industry trends. - Champion a team culture rooted in diversity, inclus