Lead Infrastructure Engineer - Proxy/SSE Network Security (Corporate Sector)
Hackajob · London, England ·
Our client is a leading global investment bank. JOB DESCRIPTION Lead Software Engineer - Proxy/SSE Network Security As a Lead Software Engineer at our client 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. Job responsibilities Executes creative Network security software solutions, design, development, and technical troubleshooting with 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 point for 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.