NetDocuments

AI Engineer

• Build and maintain production-grade backend services supporting AI usage metering, reporting, billing integrations, and model availability
• Design and develop data pipelines and event-driven systems processing usage and product data at scale
• Build cloud-native services using C#, AWS, and modern backend architecture patterns
• Develop integrations across AI, product, data, billing, and platform systems
• Write high-quality, well-tested code and participate in code reviews
• Contribute to system design and architecture decisions for backend services, data pipelines, and integrations
• Evaluate technical trade-offs and establish scalable patterns for the AI Growth platform
• Design distributed systems using AWS Lambda, DynamoDB, SQS, and S3
• Translate product and business requirements into scalable technical solutions
• Own reliability and operational health of services; investigate and resolve production issues
• Monitor system health and improve performance, reliability, and scalability
• Build systems with production support, observability, and maintainability in mind
• Partner with AI Tools, Business Intelligence, Finance, Platform Engineering, and Product teams
• Work with technical and non-technical stakeholders to translate requirements into engineering solutions
• Support engineers through code reviews, pairing, and sharing technical context
• Own work from requirements through implementation, deployment, and ongoing support
• Establish technical practices and processes as the AI Growth team matures

Senior Software Engineer – AI Growth

QA Engineer

• Evaluate and improve the performance of NetDocuments’ systems and products on tasks requiring legal knowledge for quality assurance
• Design and implement legal quality assurance evaluations and supporting software platforms
• Discover, prove, and recommend methods to improve legal quality in NetDocuments’ systems and help customers get more value from their data
• Partner with and advise product managers, engineering managers, and designers across the company
• Define correct legal AI output and build trustworthy, repeatable evaluations and software tools
• Review specifications, prompts, taxonomies, and product copy for legal accuracy
• Advise product teams on whether designs match how legal professionals think and work
• Identify and validate system improvements, including prompts, agentic workflows, new features, and technologies
• Serve as an enablement team member for product teams rather than external customers; the role is not forward deployed
• Report to the Manager of Legal Engineering

Legal Engineer – QA

Full-stack Engineer

• Lead the technical direction of a backend engineering team
• Serve as a hands-on technical leader and define engineering standards
• Lead architectural discussions and make technical decisions across services and distributed systems
• Establish patterns for scalable, secure, reliable, and maintainable systems
• Guide technology stack evolution as products mature and scale
• Drive improvements in performance, reliability, cost efficiency, developer experience, and engineering quality
• Architect and build production-grade, cloud-native backend services and APIs
• Design event-driven, service-oriented systems and data pipelines resilient to load, retries, and partial failure
• Build secure systems for processing, organizing, and surfacing large volumes of content, including search, retrieval, and AI capabilities
• Integrate AI-powered services and emerging technologies
• Design for security, permissions, governance, compliance, and data protection
• Instrument services with logging, metrics, distributed tracing, and telemetry
• Improve throughput, latency, scalability, and cost
• Design for idempotency, ordering, deduplication, rate limiting, and safe reprocessing
• Own complex technical initiatives from design through deployment and ongoing operation
• Evaluate architectural tradeoffs across performance, cost, security, scalability, and maintainability
• Create technical documentation, architecture diagrams, system designs, and technical decisions
• Partner with Product, Design, Platform Services, engineering leadership, and other engineering teams
• Mentor engineers and raise technical capabilities and engineering practices
• Lead knowledge sharing through code reviews, design discussions, documentation, and hands-on guidance
• Research and validate emerging technologies through proofs of concept
• Identify opportunities to improve customer experience and engineering velocity
• Leverage modern development and AI tooling to increase engineering effectiveness

Staff Software Engineer

Manager

• Lead day-to-day datacenter operations, ensuring stability, reliability, and performance across physical environments
• Oversee operational practices across hardware, network, compute, and supporting infrastructure
• Partner with Software Engineering, Cloud Engineering, and Architecture teams to maintain reliable and scalable infrastructure
• Ensure infrastructure operations align with SOC 2 Type II and ISO 27001 requirements
• Maintain and evolve business continuity and disaster recovery plans
• Lead the transition from traditional datacenter operations toward AWS-native cloud application engineering
• Manage and operate AWS PaaS services supporting NetDocuments SaaS applications
• Establish cloud-native operational practices improving reliability, scalability, automation, and engineering efficiency
• Establish observability standards, logging, monitoring, telemetry, and operational visibility
• Provide leadership for incident response subject matter experts
• Lead, mentor, and develop engineers through changes in technical responsibilities and operating models
• Build development plans, certification paths, learning opportunities, and technical development plans
• Build trusted partnerships across the CTO organization and serve as an operational liaison between Cloud Operations and product engineering teams
• Support strategic planning, budgeting, capacity planning, and investment decisions

Senior Software Engineer – AI Growth

Legal Engineer – QA

Staff Software Engineer

Senior Manager, Infrastructure