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-AWS and Terraform at JPMorgan Chase within the Corporate Sector-Commercial and Investment Banking Finance team, 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
• 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 Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience delivering end-to-end solutions across system design, application development, testing, and operational stability for production systems
• Advanced proficiency in one or more programming languages, including Python
• Practical cloud-native engineering experience, including designing and operating workloads on AWS
• Strong AWS compute expertise (EC2, ECS/EKS, and/or Lambda), with an emphasis on performance, resiliency, and cost awareness
• Solid AWS networking knowledge (VPC, subnets, security groups, NACLs, Route 53, load balanc.

..