Job Description
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, 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.
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
- 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.
- 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.
Required Qualifications, Capabilities, And Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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
- 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 CloudFormation
- In-depth knowledge of the financial services industry and their IT systems
Preferred Qualifications, Capabilities, And Skills
- Practical cloud-native experience
- Advanced governance/reporting of DR audit artifacts & resilience maturity scoring
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