Jobs at Saviynt

Design, build, and operate shared, reusable platform infrastructure and services (Kubernetes, CI/CD, messaging, databases, service mesh) across multi-cloud, multi-region environments. Develop automation, observability, and APIs; support internal teams and participate in on-call rotations to ensure reliability, scalability, and performance.

Design, build, and operate cloud and distributed Edge infrastructure and deployment automation. Implement CI/CD, release orchestration, observability, secrets and certificate management, and resilient architectures. Integrate AI-assisted engineering and support AI-native, agentic workloads while ensuring scalability, reliability, security, and disaster recovery.

Design and build native endpoint agents for Windows, macOS, and Linux to enforce privileged endpoint device management, collect local telemetry, detect unauthorized or agentic workloads, secure agent-backend communication, and optimize performance. Lead architecture, mentor engineers, and apply AI-assisted development and AI SDLC practices to discover and govern AI agents on enterprise endpoints.

Architect and build a scalable AI Security platform: develop Go microservices for Cloud Control Plane and distributed Edge Backends, design resilient policy sync, discovery and access-brokering services, ensure high availability and observability, and provide technical leadership and mentoring.

Design and implement scalable, resilient cloud and edge microservices in Go for an AI-focused identity and privileged access platform. Build cloud control plane and distributed edge backends, ensure secure policy synchronization and discovery, integrate AI-native features, mentor engineers, and drive architecture and engineering best practices.