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.