Vapi

Vapi

Member of Technical Staff, DevOps

San Francisco · Staff+

Sponsorship not specifiedDetected 135 days ago
TypeScriptGoGitAWSKubernetesTerraformCI/CDGitHub ActionsJenkinsDevOpsSite Reliability EngineeringTemporalShopifyArgo CD

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odds of building a lasting career here

34Risky
Cap-exempt (no lottery)0
Sponsors this role68
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

Files H-1B transfers

10 transfer filings in the last year, covering 10 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

  • Success is measured by how fast every other team ships safely.
  • Sit with engineers from agents and FDE teams to find the top 3 deploy pain points.
  • Ship the first version of cell-creation tooling or preview environments.

Responsibilities

  • 60 Day: Own progressive delivery end-to-end - canary, automated rollback, soak - for at least one critical service path.
  • Make the deploy pipeline measurably faster (lead time, MTTR for failed deploys).
  • 90 Day: Roll out progressive delivery as the default across services. Establish SLAs and a feedback loop with engineering teams. Own the developer-platform roadmap and partner with Infra and SRE on cell creation, multi-region rollouts, and oncall tooling.

Requirements

  • You can describe a real rollout that automated rollback caught.

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