Staff Software Engineer - OCR / Text Extraction

NetDocuments is the world’s #1 trusted cloud-based content management and productivity platform that helps legal professionals do their best work. The Staff Software Engineer will play a pivotal role in shaping the future of document management systems, driving the design and delivery of scalable platforms while collaborating with various teams to integrate cutting-edge technologies.

Responsibilities:

• Set technical direction for our document content extraction and transformation team, establishing patterns for scalable, secure, and performant systems on AWS
• Lead architectural decisions that use OCR technologies such as Tesseract and Apryse OCR
• Drive initiatives that improve scalability, performance, and reliability of the product while considering and implementing changes that control costs without impacting customer satisfaction
• Guide the evolution of our content extraction and transformation technology stack as the business and customer needs mature and scale
• Make critical technical decisions that balance user experience, performance, security, and maintainability
• Design and implement event-driven architectures using AWS services, Kafka, and modern data pipelines
• Build production-grade applications across C#/.Net, AWS services, and document extraction/transformation technologies
• Design and implement scalable APIs (REST, GraphQL) that power our front-end and enable third-party integrations
• Integrate AI-driven services and emerging technologies to enable greater backend efficiencies and increase customer productivity
• Build the product to enable seamless, scalable, and flexible semantic search capabilities
• Ensure security, performance, and compliance considerations are applied across all implementations
• Solve complex technical challenges from real-time customer experiences and issues to event-driven document processing at scale
• Take full ownership of initiatives from concept through production and ongoing evolution
• Make sound architectural decisions by weighing trade-offs with reasoning that stands up over time
• Proactively identify and address technical debt before it impacts the team
• Write high-quality, well-tested code across the full stack with emphasis on maintainability
• Design resilient systems that maintain uptime and performance as we scale globally
• Implement observability through logging, metrics, and telemetry to proactively triage issues
• Monitor and optimize performance at scale, identifying bottlenecks and implementing solutions
• Create comprehensive technical documentation including architectural diagrams and design decisions
• Partner closely with product management to translate requirements into technical solutions
• Mentor engineers across experience levels, elevating technical skills and best practices
• Collaborate with Platform Services, Ops, and other teams on integration points and shared infrastructure
• Build consensus on technical approaches while having authority to make final decisions when needed
• Lead knowledge-sharing initiatives through code reviews, design discussions, and documentation
• Stay at the forefront of content extraction and transformation technologies and industry trends, cloud-native architectures, and AI-powered tools
• Research and prove out new technologies through POCs that align with product strategy
• Contribute ideas that directly improve engineering velocity and quality

Requirements:

• Bachelor's degree or higher in Information Systems, Computer Science, or a 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
• Proven track record of building scalable applications still in production
• 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, including logging, metrics, tracing, telemetry, preferably with DataDog
• Deep experience building with OCR & Text Extraction technologies
• Deep experience building document management or enterprise content management
• Deep knowledge of event-driven architectures
• 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