Lead Software Engineer - Python, AWS, Data, Agentic AI

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 Corporate Sector, 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 break down technical problems Develops secure high-quality production code, and reviews and debugs code written by others 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 Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Software Engineering and application development and 7+ years applied experience Strong hands-on expertise in Python and/or Java with demonstrated delivery of secure, high-quality production code Strong experience building cloud-native solutions on AWS (compute, storage, security/IAM, networking, observability) Strong experience with LLMs and agentic systems, including orchestration patterns, tool/function calling, retrieval, structured outputs, evaluations, and safety/guardrails Experience building data-intensive applications and workflows using Databricks (Spark, Delta, jobs/workflows) Proficiency in JavaScript/TypeScript and React for building modern web applications Proficiency in automation and continuous delivery methods; strong SDLC discipline (CI/CD, testing, code quality, release controls) Advanced understanding of agile delivery, application resiliency, and secure engineering practices Strong system design skills with the ability to make pragmatic trade-offs and drive alignment across stakeholders Preferred qualifications, capabilities, and skills Exposure to cloud technologies – AWS EC2, EKS, RDS, S3, Lambdas, EMR, Glue, S3 Big Data Technologies such as PySpark, Hadoop, Databricks, ETL, Snowflake Proven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.)