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About the role
Architect and build the next-generation AI Security platform for enterprise identity and privileged access.
Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.
Build the Cloud Control Plane responsible for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.
Build distributed Edge Backends that operate as local Points of Presence (PoPs) for headquarters, regional hubs, branch offices, and customer data centers.
Design resilient policy synchronization from Cloud → Edge → Endpoint with secure fail-closed enforcement during connectivity failures.
Build enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, applications, databases, and AI agents.
Develop access-brokering capabilities that enable privileged access to applications, machines, and services through local Edge Backends.
Design highly available, observable, and resilient distributed systems using modern cloud-native technologies.
Mentor engineers, lead architecture discussions, and drive engineering best practices.
AI & Agentic Engineering
Leverage AI-assisted software development throughout the SDLC to improve productivity, code quality, testing, documentation, and operational excellence.
Build platform capabilities to discover, govern, and secure AI agents, automation frameworks, MCP servers, and agentic applications.
Develop scalable services supporting AI-native enterprise workloads.
Follow AI SDLC best practices across design, implementation, testing, deployment, and operations.r
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