V.L.S. Systems, Inc

V.L.S. Systems, Inc

W2 || H1B-Transfer Only || Senior Full Stack Software Engineer

US · Senior

Sponsorship not specifiedDetected 133 days ago
JavaScriptPythonReactNode.jsFull-Stack DevelopmentSQLAWSSparkAgentic AIERPEHR/EMR

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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

33% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: LTIMindtree · Marriott InternationalFiles as an H-1B dependent employer.

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

  • Position: Senior Full Stack Engineer Location: Remote - must work EST business hours - most teams prefer CST as the farthest from EST Must Have Agentic AI AWS Cloud Observability (ex. X-Ray) AWS Dynamo AWS Lambda AWS S3 AWS - SNS/SQS AWS State machines JavaScript (ES6) Node.js React js SQL/RDS Nice To Have aws EMR Spark AWS - Glue AWS - Lake Formation
  • Python Team: LMS and ERP Profile: Team seeks a seasoned developer with AI and automation development experience (AI bot automation testing, agent…

Nice to have

  • Team seeks a seasoned developer with AI and automation development experience (AI bot automation testing, agent…

This listing is sourced directly from V.L.S. Systems, Inc's careers page and normalized into a canonical job model.