S
Milpitas, California, United States· Full-time· Hybrid
$240K – $250K/yr
● Strong current hiring demand for this role
PostgreSQLRedisDockerKubernetes
S
Active4mo ago
Principal Software Engineer, Platform Engineering & Edge Infrastructure
Pay vs market · Near median
This job's pay ($245,000 a year at the midpoint) is higher than about 55% of 1,227 salary-listed Software Engineer jobs in United States in the last 12 months; their median is $232,500.
Role overview
Job description
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
WHAT YOU BRING
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Design and operate the infrastructure powering Cloud and Edge platform deployments.
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Build deployment automation for distributed Edge PoPs supporting headquarters, branch offices, regional hubs, and customer data centers.
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Design highly available deployment architectures supporting secure fail-closed operation and resilient policy synchronization.
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Build CI/CD pipelines, release automation, upgrade orchestration, and lifecycle management for Cloud, Edge, and Endpoint components.
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Develop observability platforms, including logging, metrics, tracing, health monitoring, and audit pipelines.
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Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution.
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Drive platform scalability, operational excellence, reliability, disaster recovery, and security.
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Apply AI-assisted engineering across infrastructure, deployment automation, and platform operations.
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Build infrastructure supporting AI-native applications, AI services, and distributed agentic workloads.
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Follow AI SDLC best practices for software delivery, automation, deployment, monitoring, and continuous improvement.
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Evaluate emerging AI infrastructure technologies to improve engineering productivity and operational efficiency.
AI & Agentic Engineering
WHAT YOU BRING
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1+ years of Principal-level of platform engineering, DevOps, or Site Reliability Engineering experience.
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Deep experience operating Kubernetes and cloud-native platforms at enterprise scale.
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Strong experience with Terraform, Helm, GitHub Actions, ArgoCD, Ansible, or similar automation technologies.
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Experience with distributed networking, service meshes, proxies, DNS, load balancing, and TLS.
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Strong experience in Linux systems administration and infrastructure automation.
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Experience deploying highly available distributed enterprise software across multiple customer environments.
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Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.
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Understanding of AI application architectures, AI agents, MCP, and AI-enabled infrastructure.
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Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, CI/CD automation, observability, and responsible use of AI-generated code.
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Strong operational mindset with excellent communication, collaboration, and leadership skills.
About this listing
- Source: Saviynt's official careers site (via Lever) · last confirmed on the source 7 Nov 2026
- Posted 29 Jun 2026
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Role market pulse
How Software Engineer demand looks in United States
Live jobs
3,112
Posted 30d
2,191
30d movement
+372.2%
Remote share
24.9%
Salary listed
82.5%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Automate provisioning, certificate lifecycle management, secrets management, and secure configuration distribution; 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
Department · Engineering
Hiring company
Saviynt
Technology
Discover Zuma by Saviynt, the enterprise AI security platform that secures every identity and enables confident AI development through comprehensive governance and risk management solutions.
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