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System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

System Ownership: Design, build, and deploy large-scale distributed systems and high-throughput data pipelines using Go and cloud-native technologies.

Design and manage scalable, secure, and highly available cloud infrastructure.

Competitive, equitable salary

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Co-architect and co-build production AI agents with customer engineering teams

Architect and implement cutting-edge security solutions across critical enterprise domains including endpoint protection, zero trust networking (ZTNA), identity and privileged access management, SaaS security

Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.

Lead threat modeling and security reviews across Wiz's products and cloud infrastructure, identifying attack surfaces and developing scalable mitigation strategies

This is a remote work position with approximately 50% travel for onsite meetings (as required).

Be an owner: Design and implement real-time services with high throughput and low latency requirements, verify, deploy and operationalize them

Design, implement, and maintain video signalling protocols and server components for real-time video calls (e.g., WebRTC, SIP, RTCP/RTP) in a highly scalable distributed system.

Work alongside Twilio New business Account Executives, other Twilio Solutions Engineers, Professional Services and Twilio Partners as needed through the pre-sales process, to strategise and plan for deal success.

Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability.

10+ years of hands-on, professional experience in query engine development or database internals

5 to 8 years of related industry experience, ideally 2 years of experience in a customer facing role.