Lead Software Engineer - Cloud AWS Resiliency

JPMorgan Chase & Co.; Plano (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer within the Consumer and Community Banking technology -Deposits Platform to lead resiliency and DR efforts across the product portfolio.

The role involves cross-team collaboration, development of failover frameworks, and integration of AI-assisted development practices to improve code quality and security, in a secure, scalable cloud environment.

Qualifications

• Formal training or certification on software engineering concepts.
• 5+ years of experience in system design, development, testing, and operations.
• Experience with AWS cloud architectures and DR services.
• Proficiency in Python, Go, or Bash and IaC tools (Terraform or CloudFormation).
• 5+ years in SRE, Disaster Recovery Planning, or Distributed Systems Engineering.
• Demonstrated experience leading effective use of AI-assisted software development tools with alignment on correctness, performance and security.
• Strong understanding of responsible AI use in engineering, data sensitivity, and secure handling.
• Advanced understanding of agile methodologies including CI/CD, Application Resiliency, and Security.
• Experience with enterprise tools and automation in software development workflows.

Responsibilities

• Lead end-to-end DR tests and real-time failover events across all applications.
• Develop resiliency frameworks for automated product offerings and repeatable patterns.
• Define and monitor RTO and RPO for all components and track gaps.
• Automate disaster recovery provisioning, scaling, configuration, and monitoring using IaC tools.
• Drive resiliency testing scenarios and chaos engineering with AWS FIS and Resilience Hub.
• Partner with SREs to build detection capabilities and proactive CloudWatch alerts.
• Establish and execute DR playbooks and recovery runbooks with dependency mapping.
• Collect, govern, and report DR test artifacts and resilience maturity scores for audits.
• Apply AI-assisted engineering practices to improve code quality, delivery speed, and security.

Skills

Software engineering fundamentals

System design

Operational stability

Agile methodologies

Tools

Terraform

CloudFormation

AWS

AWS Elastic Disaster Recovery

AWS Backup

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 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 promote 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-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.
• 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 and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience