Principal Software Engineer, Cloud & Edge Backend

Ovii's Interpretation of the Role

Principal Software Engineer leading the design and implementation of Saviynt’s AI‑driven identity security platform. Build cloud‑native control plane and edge backends using Go, microservices, and modern DevOps tooling while mentoring engineers and applying AI‑assisted development practices.

Role Snapshot

• Principal‑level backend engineer
• AI security platform builder
• Cloud Control Plane & Edge backend specialist
• Go (Golang) microservices expert
• Mentor & architecture lead
• Hybrid work in Milpitas, CA

Must-Have Requirements

• Go (Golang)
• Distributed systems / microservices
• Kubernetes
• Docker
• gRPC
• REST APIs
• PostgreSQL
• Redis
• Kafka or NATS
• Networking, authentication, authorization, TLS, proxies, distributed caching
• backend software engineering
• distributed systems
• microservices

Nice-to-Have Signals

• Enterprise security / IAM / PAM / Zero Trust experience
• AI‑assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT)
• AI agents, LLMs, RAG, Model Context Protocol familiarity
• enterprise security
• AI security

Work Setup

• Location: Milpitas, United States
• Work mode: HYBRID
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Not Specified in JD

• Visa sponsorship
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Architect and build the next‑generation AI security platform for enterprise identity and privileged access
• Design and develop highly scalable Go microservices for the Cloud Control Plane and distributed Edge backends
• Create resilient policy synchronization across Cloud, Edge, and Endpoint with fail‑closed enforcement
• Develop enterprise‑scale discovery services for cloud resources, on‑prem infrastructure, endpoints, databases, and AI agents
• Implement access‑brokering capabilities that enable privileged access via local Edge backends
• Design highly available, observable, and resilient distributed systems using modern cloud‑native technologies
• Mentor engineers, lead architecture discussions, and champion engineering best practices
• Leverage AI‑assisted development throughout the SDLC to boost productivity, code quality, testing, and operational excellence

Good Fit If You Have

• Experience building enterprise security, IAM, PAM, or Zero Trust products is advantageous
• Familiarity with AI agents, LLMs, RAG, and Model Context Protocol is a plus
• Strong communication and mentorship skills are valued