Compugra Systems

Java Backend Developer (exp. with AI, LLM, RAG)

Phoenix, Maricopa County · Senior

Sponsorship not specifiedDetected 138 days ago

JavaKotlinSpringSQLPostgreSQLMongoDBRedisGCPCloud PlatformsDockerKubernetesRESTKafkaLLMsRAG

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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

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 4 green-card filings in this occupation, 50% were for a worker who already held the job.

Third-party placement is common here

50% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 6 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: DIGITAL OCEAN · FIFTH THIRD BANK · HOME OFFICCE

Files H-1B transfers

4 transfer filings in the last year, covering 4 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

Competencies: Java8, Spring boot, SQL, Postgres, MongoDB,

Requirements

Postgres, MongoDB, Redis REST API, Kafka, Docker Kubernetes Strong understanding of API-first architecture and enterprise integration patterns Ability to design secur…

Skills

Spring boot Kotlin Databases:

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