Lead Software Engineer

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 Corporate Sector - Infrastructure Platforms, 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 end-to-end cloud networking architecture for enterprise platforms across AWS, Azure, and/or GCP, including segmentation, transit design, DNS, load balancing, connectivity, and egress controls.


* Define and govern reusable network architecture standards, patterns, and reference designs for customer-facing and internal solutions; Partner with application, platform, security, and infrastructure teams to design customer solution architectures that meet availability, performance, resiliency, and compliance requirements.


* 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.


* Translate business and customer requirements into secure, production-ready architecture blueprints and implementation plans.


* Own technical risk management for cloud networking and solution architecture domains, including identification, assessment, prioritization, and mitigation planning.


* Drive closure of audit, regulatory, cybersecurity, and control findings by coordinating remediation plans, evidence collection, and stakeholder reporting; Establish architecture guardrails, policy-as-code controls, and design review processes to improve consistency and reduce operational risk.


* Support major incident response and problem management for network-related outages, including root-cause analysis and prevention strategies.


* Mentor engineers and architects, promote engineering excellence, and contribute to roadmap planning and delivery governance.


* Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.


* Applies reuse-first, AI-assisted pr...