ITsutra, Inc.

ITsutra, Inc.

W2 Role- Full Stack Developer (Node.js, AWS, TypeScript)

Los Angeles, California, USA · full-time

Sponsorship not specified$110k-$120kDetected 163 days ago
TypeScriptJavaReactVue.jsAngularNode.jsSpringFull-Stack DevelopmentGitSQLNoSQLAWSDockerKubernetesCI/CDDevOpsRESTAgile

Stay score

odds of building a lasting career here

47Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$106,7871 entry
Level II$134,2022 entries
Level III$161,6373 entries
Level IV$189,0514 entries

Even the top of this range is below the Level II threshold of $134,202, so this role stays at one lottery entry however you negotiate. That is a property of the posted band, not of you.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • We are looking for a skilled Full Stack Developer with a strong Java background and hands-on experience in Node.js, AWS, and TypeScript.

Nice to have

  • Experience with containerization (Docker, Kubernetes) Knowledge of Agile/Scrum methodologies Experience in building scalable enterprise applications

Compensation

  • $110k-$120k

Company info

  • Job Summary: We are looking for a skilled Full Stack Developer with a strong Java background and hands-on experience in Node.js, AWS, and TypeScript.

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