
Principal Software Engineer, Platform Engineering & Edge Infrastructure
Saviynt
Posted 2026-06-29
USD 240,000 - USD 250,000 per year
Tech & Engg
Job Description
Ovii's Interpretation of the Role
Principal Software Engineer driving Saviynt's AI‑powered identity platform infrastructure. Owns design, automation, and operation of cloud and edge deployments, applying AI‑assisted tooling to ensure scalability, reliability and security.
Role Snapshot
- Principal‑level platform engineer
- Hybrid (Milpitas, CA)
- Full‑time
- AI‑enabled infrastructure
- Edge & cloud deployment automation
Must-Have Requirements
- Kubernetes
- Cloud‑native platforms
- Terraform
- Helm
- Ansible
- ArgoCD
- GitHub Actions
- Linux systems administration
- Distributed networking
- Service mesh
- DNS
- Load balancing
- TLS
- Infrastructure automation
- AI‑assisted development tools
- CI/CD pipeline design
- Platform engineering
- DevOps / SRE
- Kubernetes at enterprise scale
- Edge & cloud deployments
Nice-to-Have Signals
- Observability platforms
- AI SDLC best practices
- Familiarity with AI agents and MCP
- AI‑assisted development
- Observability engineering
Work Setup
- Location: Milpitas, USA
- Work mode: HYBRID
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Relocation
- Travel
- Security clearance
- Coding test
What You'll Likely Work On
- Design and operate cloud and edge infrastructure for global enterprise deployments
- Automate provisioning, certificate lifecycle, secrets management and secure configuration distribution
- Build and maintain CI/CD pipelines, release automation and upgrade orchestration for cloud, edge and endpoint components
- Create highly available, fail‑closed architectures with resilient policy synchronization
- Develop observability stacks covering logging, metrics, tracing, health monitoring and audit pipelines
- Drive platform scalability, reliability, disaster recovery and security posture
- Apply AI‑assisted engineering practices across infrastructure, deployment automation and operations
- Evaluate emerging AI infrastructure technologies to boost productivity and efficiency
Good Fit If You Have
- Strong communication and collaboration skills
- Leadership mindset without direct people‑management responsibilities
- Passion for AI‑augmented development and automation
Skills
- Kubernetes
- Cloud‑native platforms
- Terraform / Helm / Ansible / ArgoCD / GitHub Actions
- Linux systems administration
- Distributed networking & service mesh
- DNS, load balancing, TLS
- CI/CD pipeline design
- Infrastructure automation
- AI‑assisted development tools (Copilot, ChatGPT, etc.)
- Observability (logging, metrics, tracing)