Jobs / United States / NetDocuments Limited

NetDocuments Limited

Staff Software Engineer - OCR / Text Extraction

Remote - US · Remote · region not stated Posted yesterday

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Skills this job asks for

RecruitmentAWSLeadership

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Where you can work from

Location not specified

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The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereThis employer does not appear with approvals in the government data SponsorApply holds.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What NetDocuments Limited paid sponsored hires in similar roles1 certified filing for “Staff Test Engineer” (Software Developers) in PA: $129k–$129k, median $129k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What NetDocuments Limited paid sponsored hires in similar roles
1 certified filing for “Staff Test Engineer” (Software Developers) in PA: $129k–$129k, median $129k. Most were filed at wage level III (100%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

These come from the posting’s own wording. Read the original listing to confirm. See better-fit alternatives →

About the role

NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to  hrgroup@netdocuments.co m  so our team members can review. About NetDocuments At NetDocuments, we're shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That's why we're building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge. Our team is redefining what's possible for legal technology. NetDocuments is the trusted intelligent document management platform for legal professionals and the company behind the industry's first and only legal context graph—a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls. Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you're building products, serving customers, or supporting the business, your work helps shape the future of one of the world's most trusted legal technology platforms. That commitment to our employees and customers has earned us recognition as one of the nation's top workplaces, including: • Four consecutive appearances on the Inc. 5000 list of America's Fastest-Growing Private Companies • Five-time Top Workplace USA winner • Five-time Salt Lake Tribune Top Workplace • Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits If you're excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we'd love to meet you. What You'll Do Every document that enters NetDocuments passes through our content extraction and transformation platform, which turns scanned images, PDFs and Office files into searchable text, structured data, and the foundation for AI features like semantic search. We process documents at very high volume, on an event-driven platform built on AWS. We're looking for a Staff Software Engineer to set the technical direction for this platform and, over time, lead the team that builds it. You'll design the distributed systems that process millions of documents an hour, bring AI-powered extraction into production, and lead an engineering practice where AI agents are part of how we design, build and test software. This is a hands-on role. You'll write production code, make architecture decisions that hold up over time, and raise the technical bar for the engineers around you. You will: Technical Leadership & Architecture • Set technical direction for our document content extraction and transformation platform, establishing patterns for scalable, secure, and cost-efficient systems on AWS. • Design and own distributed, event-driven pipelines that process millions of documents an hour, including how they scale, how they fail, and how they recover. • Lead architectural decisions involving OCR technologies such as Tesseract and Apryse, and AI models for document understanding. • Drive im

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