Saviynt

Saviynt

Senior / Staff Site Reliability, Platform Engineering

Milpitas, Santa Clara County · Staff+

Sponsorship not specifiedDetected 78 days ago
Platform Engineering

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 50%

Of 6 labor certifications old enough to have been used, 3 expired without the employer filing the next step. Median time from filing to decision: 505 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Job Description About Saviynt Saviynt is a leader in identity security, delivering an AI-powered platform that governs and secures access to applications, data, and business processes for global enterprises and government institutions.
  • Why This Role Matters Saviynt's SaaS platform runs on complex, distributed, cloud-native systems.

Skills

  • Built for the AI era, Saviynt helps organizations move faster-securely and compliantly.
  • As a Staff Platform Engineer, you will play a critical role i…

This listing is sourced directly from Saviynt's careers page and normalized into a canonical job model.