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Lead Infrastructure Engineer- Network Planning
lead · Technology / Software Development
Are you ready to help build and evolve the infrastructure that powers global finance? At JPMorgan Chase, you’ll tackle complex challenges at scale with the support, tooling, and freedom to grow alongside top engineering talent.
As a Lead Infrastructure Engineer at JPMorgan Chase within the Network Services Infrastructure Platform team, you will be responsible for the strategic evaluation of network technologies and topologies, ensuring compliance with industry standards and organizational objectives. This role drives requirements for network planning tools, develops performance metrics, leads initiatives for improved performance and design optimization, builds business cases for these initiatives, supports audit, risk, and compliance activities, and collaborates with regional carriers to adopt the best product solutions.
Job responsibilities
- Lead technology and topology strategy by evaluating emerging and established network technologies and recommending solutions aligned to business, security, and resiliency needs.
- Design and standardize target network topologies (LAN/WAN/DC/Cloud connectivity) that optimize performance, scalability, availability, and operational supportability.
- Own requirements definition for network planning/management tools, translating business outcomes and technical constraints into clear epics, features, and acceptance criteria.
- Partner with software engineering teams to prioritize the tool roadmap, validate delivered functionality, and ensure fit-for-purpose planning workflows and UX for engineers.
- Define and implement network performance metrics and KPIs, establishing measurement standards, thresholds, and reporting cadences across critical services and regions.
- Analyze performance and capacity data to identify trends, bottlenecks, and systemic issues; provide actionable insights and continuous improvement recommendations.
- Lead performance and design optimization initiatives, embedding best practices and innovations to improve efficiency, reliability, and end-to-end service quality.
- Build and present business cases (cost/benefit, risk reduction, ROI, and delivery approach) to secure funding and executive alignment for optimization programs.
- Ensure audit, risk, and compliance readiness by maintaining end-to-end documentation, supporting control testing and regulatory expectations, partnering with compliance, and coordinating with regional carriers/service providers to align standards, interoperability, and service performance.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis, option evaluation, and design documentation, validating outputs and handling 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 network planning and infrastructure engineering concepts and 5+ years applied experience
- Deep understanding of network technologies, topologies, and transport protocols.
- Experience collaborating with regional carriers or service providers on network solutions.
- Demonstrated ability to lead technical initiatives and influence engineering decisions across teams
- Experience in developing and implementing network performance metrics.
- Demonstrated ability to define requirements for software tools and collaborate with development teams.
- Proven track record of driving performance improvement and design optimization initiatives.
- Familiarity with audit, risk, and compliance processes and documentation.
- Strong analytical, documentation, and communication skills.
- 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 with network automation and orchestration platforms.
- Familiarity with cloud and hybrid network architectures.
- Project management or requirements engineering certification is a plus