Lead Software Engineer - Cloud AWS Resiliency

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As a Lead Software Engineer at JPMorgan

Chase 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.

• 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 Cloud Watch alerts.
• Establish, maintain, and execute technical DR playbooks and recovery runbooks, ensuring sequence mapping and dependencies are meticulously documented.
• Mentor and lead software engineers across the organization, promoting continuous learning and operational best practices.
• Collect, govern, and report on DR test artifacts, audit trails, and resilience maturity scores to demonstrate compliance with internal and regulatory standards.
• Drive 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.

• 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‑on experience with AWS cloud architectures, specifically DR-enabling services like AWS Elastic Disaster Recovery, AWS Backup, and multi‑AZ/multi‑region deployments.
• Proficiency in at least one modern language (Python, Go, or Bash) and familiarity with Infrastructure as Code (IaC) tools like Terraform or Cloud Formation.
• 5+ years in Site Reliability Engineering (SRE), Disaster Recovery Planning, or Distributed Systems Engineering.
• Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Demonstrated proficiency in software applications…