Lead Software Engineer - Terraform, Python, Kubernetes

About the Role

**JOB DESCRIPTION** 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 JPMorgan Chase within the Commercial \& Investment Bank, Securities Services Technology, 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 creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems * Develops secure and high\-quality production code, and reviews and debugs code written by others * 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. * Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems * Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes\-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture **Required qualifications, capabilities, and skills*** Formal training or certification on software engineering concepts and 5\+ years applied experience. * Extensive experience in building and running AWS/public cloud based applications * Solid programming skills with Python * Hands\-on practical experience delivering system design, application development, testing, and operational stability * Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle * Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning * Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.) * In\-depth knowledge of the financial services industry and their IT system. * Demonstrated experience leading effective use of approved AI\-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. * Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices. **Preferred qualifications, capabilities, and skills** * Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development * Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock * Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) * Experience working on AIML systems and/or prior experience collaborating with data scientists **ABOUT US**