Lead Software Engineer - Cloud AWS Resiliency

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 technology - Deposits Platform, 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


* Lead and coordinate end-to-end DR tests and real-time failover events across all applications within the product portfolio, ensuring smooth cross-team collaboration.


* Develop and maintain overarching resiliency frameworks that development and infrastructure teams can consume via automated product offerings and repeatable patterns.


* Define and monitor Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for all product components, tracking metrics to identify architectural or procedural gaps.


* Partner with application teams to automate disaster recovery provisioning, scaling, configuration, and monitoring using Infrastructure as Code (IaC) tools like Terraform.


* Drive resiliency testing scenarios and chaos engineering using native tools like AWS Fault Injection Service (FIS) and AWS Resilience Hub to identify vulnerabilities before they impact production


* Partner with SREs to build advanced detection capabilities, leveraging ex-AWS Resilience Hub to assess application resilience and set up proactive CloudWatch alerts.


* Establish, maintain, and execute technical DR playbooks and recovery runbooks, ensuring sequence mapping and dependencies are meticulously


* Collect, govern, and report on DR test artifacts, audit trails, and resilience maturity scores to demonstrate compliance with internal and regulatory standards.


* 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 practical experience delivering system design, application development, testing, and operational stability


* Hands...