Lead Software Engineer

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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 practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.

Required qualifications, capabilities, and skills

- Formal training or certification on software engineering concepts and 5+ years applied experience
- Significant experience in cloud networking architecture and enterprise network design in regulated environments; Deep expertise in core networking concepts: routing, switching, BGP, DNS, VPN, firewalls, NAT, proxies, load balancing, and zero-trust principles.
- 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
- Strong hands-on experience with cloud-native networking services and hybrid connectivity patterns; Demonstrated experience designing customer solution architectures that align to security, resilience, and performance objectives.
- Proven track record of managing and remediating technology and cybersecurity risks/findings from audits, assessments, and control testing.
- Experience with infrastructure-as-code and automation tooling such as Terraform, CloudFormation, Ansible, or similar.
- Strong communication and stakeholder management skills, including executive-level reporting and technical design reviews.
- Ability to lead cross-functional teams and influence architecture outcomes without direct authority.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.

Preferred qualifications, capabilities, and skills

- Experience in financial services or other highly regulated industries.
- Professional-level cloud, Security, and/or Networking certifications
- Familiarity with SRE practices, observability, and network performance engineering.
- Experience with policy and compliance frameworks, including control design and evidence-based assurance.
- Exposure to SD-WAN, service mesh, Kubernetes networking, and API-driven network automation.