Lead Software Engineer - Proxy​/SSE Network Security

Lead Software Engineer
- Proxy/SSE Network Security

As a Lead Software Engineer at JPMorgan

Chase within the Corporate Sector
- Enterprise Technology, 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.

• Executes creative Network security software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high‑quality production code, and reviews and debugs code written by others
• Architect and implement
  
  Zero Trust Network Access (ZTNA) patterns for user-to-app and user-to-internet access, minimizing implicit trust and reducing lateral movement.
• Build and operate an Identity‑Aware Proxy (IAP)/policy enforcement pointfor web and application access, enforcing identity, device, and context‑based policy decisions.
• Implement or integrate
  
  Secure Gateway / Secure Web Gateway (SWG) capabilities (URL filtering, TLS inspection where approved, malware protection, sandboxing, egress controls, DNS security).
• Experience with other SaaS based Secure Gateway vendor e.g. Zscaler, Netskope, paloalto, Broadcom ProxySG etc
• 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.
• Good understanding of network infrastructure, network security concepts and application layer protocols (http/https) and vulnerability mitigation
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Own the US perimeter, proxy, and SSE/SASE engineering roadmap and execution, including intake, prioritization, dependency management, delivery governance, and stakeholder alignment across cybersecurity, network services, operations, and application and platform teams.
• Define and operationalize standards, reference architectures, and reusable engineering patterns for perimeter and egress controls, including forward proxy and secure web gateway patterns, access brokering and identity‑aware access concepts where applicable, enterprise egress enforcement, segmentation and policy patterns, and design considerations such as TLS inspection and traffic steering, expressed at a pattern and control‑integration level.
• Provide engineering leadership across edge and connectivity adjacencies that materially impact perimeter posture and service delivery, including Cisco and Arista edge environments, colocation and interconnect ecosystems (including Equinix Fabric), and cloud adjacency patterns including AWS Direct Connect and AWS Private Link, with awareness of multi‑cloud interconnect considerations.
• Establish and run governance mechanisms that accelerate remediation while preserving strong controls, including backlog governance, exception handling, risk acceptance and closure workflows, traceability and auditability requirements, and reporting that ties delivery milestones to risk reduction and resilience outcomes.
• Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and…