Voto Consulting LLC

Voto Consulting LLC

Lead Developer (AWS, Flink, Golang) -W2

Fort Sam Houston, Bexar County

No sponsorshipDetected 122 days ago
GoAWS

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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

Third-party placement is common here

21% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 3 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Cognizant · Florida Department of Transportation · The State of MassachusettsFiles as an H-1B dependent employer.

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 10 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

  • This role offers the opportunity to work with modern cloud technologies and real-time data platforms while contributing to impactful software solutions.

Skills

  • Developer (AWS, Flink, Golang) Duration:
  • Months Location:
  • San Antonio.
  • TX (Onsite) Visa:

Visa & Work Authorization

  • TX (Onsite) Visa: No H1b W2 Role Job Overview We are seeking a motivated and hands-on Lead Developer / Technical Lead to join a dynamic technology team supporting enterprise-level initiatives

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