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.