NTT DATA Americas, Inc.

NTT DATA Americas, Inc.

Lead OCP & AWS Cloud Engineer

Irving, Dallas · Senior · Contract

Sponsorship not specifiedDetected 50 days ago
PythonBashPowerShellCode ReviewGitAWSGCPAzureCloud PlatformsKubernetesTerraformAnsibleHelmCI/CDGitHub ActionsLinuxPrometheusGrafanaDevOpsPlatform EngineeringRESTCybersecurityAccessibilityLeadership

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
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 12 green-card filings in this occupation, 100% were for a worker who already held the job.

Third-party placement is common here

22% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 36 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: NATIONAL LIFE GROUP · Wells Fargo · Fidelity Investments

Green-card follow-through: 64%

Of 25 labor certifications old enough to have been used, 9 expired without the employer filing the next step. Median time from filing to decision: 498 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

31 transfer filings in the last year, covering 31 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

  • Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity.
  • We are one of the leading providers of digital and AI infrastructure in the world.

Responsibilities

  • We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success.
  • As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.

Requirements

  • Where required by law, NTT DATA provides a reasonable range of compensation for specific roles.

Nice to have

  • Your work will accelerate Kubernetes adoption, expand automation, and improve engineering productivity across the organization.

Benefits

  • This position is eligible for company benefits that will depend on the nature of the role offered.

Company info

  • If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
  • NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
  • This position may also be eligible for incentive compensation based on individual and/or company performance.

Equal opportunity

  • This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
  • NTT DATA is an equal opportunity employer.
  • Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
  • For our EEO Policy Statement, please click here.
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This listing is sourced directly from NTT DATA Americas, Inc.'s careers page and normalized into a canonical job model.