Cloud Native AI Security Engineer

We're looking for a highly experienced Senior Cloud Native AI Security Engineer to help design, build, and scale next-generation cloud-native security platforms used to detect and respond to emerging AI-driven threats at enterprise scale.

This is a deeply technical engineering role focused on building high-performance distributed systems, scalable microservices, and secure cloud-native infrastructure capable of handling massive Real Time workloads across modern cloud environments.

You'll work alongside world-class engineering teams to deliver resilient, highly available services while driving best practices across security, automation, scalability, and operational excellence.

What You'll Be Doing

• Architect and build highly scalable cloud-native services capable of processing large-scale Real Time security workloads
• Design and develop microservices, reusable frameworks, and platform components used across multiple engineering teams
• Build secure, reliable, and performant distributed systems operating at enterprise scale
• Develop automated testing strategies focused on reliability, scalability, and security validation
• Integrate services across complex internal platforms, APIs, and distributed cloud environments
• Troubleshoot and resolve performance bottlenecks and production issues across cloud-native systems
• Drive continuous improvements across observability, monitoring, automation, and system resilience
• Collaborate with engineering teams to establish cloud-native development and testing best practices
• Mentor engineers around secure coding, scalability, distributed systems, and operational excellence

• 10+ years of software engineering experience building enterprise-grade platforms or products
• Strong background designing and deploying microservices in cloud-native environments
• Deep understanding of distributed systems, scalability, performance engineering, and cloud architectures
• Strong development experience in Go, Python, or Java
• Hands-on experience with Kubernetes, Docker, and container orchestration technologies
• Experience deploying and operating services on AWS, GCP, Azure, or OCI
• Strong debugging and troubleshooting skills across complex distributed systems
• Experience with APIs and service communication technologies such as REST, gRPC, and Protocol Buffers
• Solid understanding of databases and caching technologies such as PostgreSQL and Redis

Nice to Have

• Experience building cybersecurity or threat detection platforms
• Exposure to AI/ML security challenges and AI-driven security tooling
• Experience with Kafka, Pulsar, Splunk, or Real Time streaming systems
• Golang expertise
• Experience contributing to open-source projects or internal developer platforms
• Knowledge of Microsoft Copilot ecosystem or AI agent frameworks
• Experience building highly scalable cloud-native services on AWS

This is an opportunity to work on cutting-edge AI security technologies, solving large-scale engineering challenges in a fast-moving cloud-native environment.