Lead Software Engineer - Cloud Strategy

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 Consumer and Community Banking - Deposits 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



* Shape the end-to-end AWS cloud architecture strategy across all product components.


* Advance the resiliency strategy - multi-region, active-active, failover/failback, and DR.


* Strengthen cloud cost strategy and optimization across the product, Evolve the automation and infrastructure-as-code strategy.


* Mature AI integration across engineering and product workflows, Drive scalability strategy to meet growth and peak-demand requirements.


* Harden cloud security strategy and regulatory-grade controls.


* Deepen observability and chaos engineering practices.


* Raise the bar on shared architectural standards and decision-making across teams.


* Sharpen how complex technical strategy is distilled into leadership-facing narratives.


* 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


* Deep, broad AWS expertise across compute, data, networking, and security, with proven production architecture work.


* Systems thinking - reasoning about trade-offs, failure modes, and dependencies across an entire product.


* Strategic command of cost, scalability, automation, and AI integration as connected levers.


* Hands-on depth to validate and prototype ideas, not just advise.


* Executive communication and rigorous, independent judgment in a regulated, high-stakes environment.


* Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)


* Demonstrated experience leading effective use of approved AI-assiste...