Lead Software Engineer – Cloud Strategy

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking - Deposits team youare 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 firms 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-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

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