$170,000 – $190,000
Listed on NetDocuments’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NetDocuments is hiring a senior full stack engineer to lead the design and architecture of their document extraction and management systems, working with OCR technologies, cloud infrastructure, and AI integration. This role suits an experienced technical leader who excels at building scalable backend systems and mentoring teams.
Our summary, not NetDocuments’s wording. The full posting is on their site.
Skills this role names
- .NET
- Amazon Web Services (AWS)
- Apache Kafka
- Business Metrics
- C#
- Datadog
- GraphQL
- Medical Telemetry
- Microservices
- Optical Character Recognition (OCR)
- Retrofit (REST)
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What they ask for
Required
- Bachelor's degree in Information Systems, Computer Science, or related field, or equivalent experience
- 8+ years of professional software engineering experience delivering production-grade applications at scale on cloud platforms
- 5+ years in technical leadership and development roles using OCR technologies
- Expert proficiency in C#/.NET
- Expert proficiency with OCR technologies such as Tesseract or Apryse
- Expert proficiency building event-driven, microservice-based products
- Expert proficiency developing on cloud platforms, preferably AWS
- Expert proficiency with Kafka or similar event streaming platforms
- Expert proficiency in observability (logging, metrics, tracing, telemetry), preferably with DataDog
Nice to have
- Deep experience building with OCR and Text Extraction technologies
- Deep experience building document management or enterprise content management systems
- Deep knowledge of event-driven architectures
- Experience ingesting millions of documents per hour into SaaS-based document management platforms
- Track record of developing high-performance content extraction and transformation products at scale
- Legal industry expertise or experience with B2B SaaS in regulated industries
- Experience integrating AI services and emerging technologies into production systems