Conch Technologies Inc

Integration DevOps Lead

Dallas, Texas

Sponsorship not specifiedDetected 87 days ago

GitSQLCI/CDDevOpsPlatform EngineeringBitbucket

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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

Third-party placement is common here

82% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 29 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Williams Sonoma · Blue Cross Blue Shield OF Michigan · AMERICAN EXPRESSFiles as an H-1B dependent employer.

Files H-1B transfers

11 transfer filings in the last year, covering 11 workers. Median labor-condition decision: 261 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

Role: Integration DevOps Lead Duration: 6 Months Location: Dallas, TX, 75240, Hybrid role W2 Contract * 10 years of IT experience with at least 5 years in DevOps or platform engineering roles * Strong expertise in enterprise integration platforms (TIBCO experience highly preferred) * Experience with CI/CD tools and automation frameworks * Hands-on
experience with source control tools (Git, Bitbucket, SVN) * Scripting experience (Shell, Maven, Ant, or similar) * Experience with SQL and database …

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