Lead Software Engineer - Python/Data/PySpark/AWS

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking, JPMWM Tech, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities: Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Adds to team culture of diversity, equity, inclusion, and respect Detects, troubleshoots and Resolves Production issues in an Enterprise multi-environment settings using advanced observability tools Required qualifications, capabilities, and skills: Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Java, Python Proficient in private and public Cloud hosted Platform - Pivotal Cloud, AWS. In-depth knowledge is a must for AWS ECS, S3, SQS, SNS, Lambda, Glue, pySpark, cloudwatch Experienced in SRE and Observability tools - Splunk, Dynatrace and Datadog Proficient in Oracle, DB2 and AW Aurora Postgress Database. Hands on experience writing SQL is a must Hands on experience in Software Development tools and CI/CD tools - Jenkins, Spinnaker, IntelliJ, Bitbucket Hands on experience in IAC - Terraform Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills: Overall knowledge of the Software Development Life Cycle Familiarity with modern front-end technologies Experience in Data Pipeline design and development Experience in Cloud migration projects Experience in AWS Glue and PySPark