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

Lead Software EngineerWe 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 responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on Software Engineering and application development and 7+ years applied experienceStrong hands-on expertise in Python and/or Java with demonstrated delivery of secure, high-quality production codeStrong 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/guardrailsExperience building data-intensive applications and workflows using Databricks (Spark, Delta, jobs/workflows)Proficiency in JavaScript/TypeScript and React for building modern web applicationsProficiency 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 practicesStrong system design skills with the ability to make pragmatic trade-offs and drive alignment across stakeholdersPreferred qualifications, capabilities, and skillsExposure to cloud technologies – AWS EC2, EKS, RDS, S3, Lambdas, EMR, Glue, S3Big Data Technologies such as PySpark, Hadoop, Databricks, ETL, SnowflakeProven experience in designing and building data pipelines (ETL/ELT) using modern technologies (e.g., Python, SQL, Spark, Airflow, etc.)