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Principal Software Engineer, Platform Engineering & Edge Infrastructure

SaviyntMilpitas, CA

$240K – $250KEngineeringPrincipalFull time
Source-verified: read directly from this employer's own lever job board, not a repost.HybridPosted (3 months ago)Last verified (today)

At a glance

Location
Milpitas, CA
Workplace
Hybrid
Pay
$240K – $250K
Employment type
Full time
Experience
Not stated
Education
No degree requirement stated
Job family
Engineering
Seniority
Principal
Posted by employer
29 June 2026
Last verified open
23 October 2026
Region and country
CA, US
Team
Engineering
Listed via
Lever

What the employer wrote

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world’s leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.

WHAT YOU WILL BE DOING • Design and operate the infrastructure powering Cloud and Edge platform deployments.

• Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.

• Design highly available deployment architectures supporting secure fail-closed operation and resilient policy synchronization.

• Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.

• Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.

• Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.

• Drive platform scalability, operational excellence, reliability, disaster recovery, and security.

AI & Agentic Engineering

• Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.

• Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.

• Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.

• Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.

WHAT YOU BRING • 1+ years of Principal-level of platform engineering, DevOps, or Site Reliability Engineering experience.

• Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.

• Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.

• Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.

• Strong experience in Linux systems administration and infrastructure automation.

• Experience deploying highly available distributed enterprise software across multiple customer environments.

• Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.

• Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.

• Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.

• Strong operational mindset with excellent communication, collaboration, and leadership skills. 

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us! Security & ComplianceThis role requires adherence to Saviynt’s information security and privacy policies and procedures, including annual security training.

Saviynt is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Where this record came from

Read from Saviynt's own Lever job board on , and last confirmed still open on . The employer published it on 29 June 2026. Jobsearch.ing did not write, edit or rank this posting, and does not vet the employer. View the original posting.

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