Lorven Technologies Inc.

Lorven Technologies Inc.

Sr. Software Engineer

Irving, Dallas · Senior

Sponsorship not specifiedDetected 127 days ago
JavaReactSpringDistributed Systems

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
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

2 transfer filings in the last year, covering 2 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

  • Hi, Our client is looking for a Sr. Software Engineer project in Irving, TX below is the detailed requirement. Job Title: Sr. Software Engineer Location: Irving, TX Job Description: Bachelor's degree in related field. Minimum 12 years of hands-on software engineering experience. Java 17 Spring Boot-based microservices development Solid experience with React
  • (frontend development) Proven experience building and integrating distributed systems and APIs Hands-on experience with GenAI technologies …

Requirements

  • Bachelor's degree in related field.
  • Minimum 12 years of hands-on software engineering experience.
  • Java 17 Spring Boot-based microservices development Solid experience with React (frontend development) Proven experience building and integrating distributed systems and APIs Hands-on experience with GenAI technologies …

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