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# Principal Software Engineer, Platform Engineering & Edge Infrastructure

- **Company:** Saviynt Inc.
- **Location:** Milpitas, CA, United States
- **Experience:** Experienced
- **Salary:** $240,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Proxy Servers, Application Release Automation, Automation of Tests, Cloud Computing, Cyber Security, Continuous Integration, Customer Data Management, Cursor (Graphical User Interface Elements), DevOps, Disaster Recovery, Domain Name System (DNS), Github, Key Management, Linux System Administration, Octopus Deploy, Systems Development Life Cycle, Reliability Engineering, Ansible, Software Deployment, AI Infrastructure, Data Logging, Transport Layer Security, Enterprise Software Applications, Load Balancing, Cloud Platform System, Data Classification, GitHub Copilot, AI Platforms, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Terraform, GPT
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7fd3d1a8824f85ed

## About the Role

* 2+ 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.

## Description

* 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., * 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., You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
If required for this role, you will:

 * Complete security & privacy literacy and awareness training during onboarding and annually thereafter
 * Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures


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