Lead Software Engineer - Python & AWS (Hiring Immediately)

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Lead Software Engineer at JPMorganChase within the Asset Wealth Management, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 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 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 Proficient in designing and implementing data pipelines for both batch and streaming use cases utilizing spark and public cloud-native technologies. Experience developing applications on AWS Cloud, leveraging services such as Lambda, S3, Glue, Step Functions, Airflow and others third party data enterprise applications like Snowflake and Databricks. Experience in Python Programming and AI development, with a focus on agentic systems. Ability to independently design and implement complex logic, algorithms and workflows for scalable distributed systems. Experience in Unix/Linux environments, including shell scripting for automaton and operational tasks. Hands-on experience with CI/CD automation, build pipelines (Git, Jenkins, Maven etc..) and AI Code Assisting Tools. Experience building distributed applications, event-driven systems and real-time processing pipelines. Preferred qualifications, capabilities, and skills Experience in deploying, managing, and scaling containerized applications using Kubernetes, ensuring high availability and efficient resource utilization in cloud environments Experience developing applications on AWS Cloud, leveraging services such as Lambda, S3, Glue, Redshift, Step Functions and others to build a scalable and reliable systems. Experience in Java Programming and AI development, with a focus on agentic systems.