
201 - 500 employees
Founded 1998
🤝 B2B
⚖️ Legal
☁️ SaaS
B2B • Legal • SaaS
NetDocuments is a leading cloud-based document management platform designed specifically for legal professionals. The platform enhances productivity by providing tools for document organization, collaboration, and automation, while ensuring high levels of security and compliance. With features like AI-driven apps, real-time messaging, and seamless integrations with applications like Microsoft 365 and DocuSign, NetDocuments empowers law firms and corporate legal teams to streamline their operations and effectively manage their documents.
🔥 12 hours ago
⛷️ Utah – Remote
💵 $145k - $165k / year
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 1998
🤝 B2B
⚖️ Legal
☁️ SaaS
B2B • Legal • SaaS
NetDocuments is a leading cloud-based document management platform designed specifically for legal professionals. The platform enhances productivity by providing tools for document organization, collaboration, and automation, while ensuring high levels of security and compliance. With features like AI-driven apps, real-time messaging, and seamless integrations with applications like Microsoft 365 and DocuSign, NetDocuments empowers law firms and corporate legal teams to streamline their operations and effectively manage their documents.
• 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
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience • 5+ years of professional software engineering experience building production-grade systems • Strong experience building distributed backend services using C# or a comparable backend language • Experience with AWS or Azure and modern cloud-native backend architecture patterns • Experience building or maintaining data pipelines, event-driven systems, or analytics infrastructure • Experience designing and operating reliable production services • Experience collaborating across engineering, product, data, or other technical teams to deliver integrated solutions • Experience building billing, metering, usage tracking, or rate-limiting systems • Experience with product analytics, instrumentation, or usage-based data systems • Experience with AWS services such as Lambda, DynamoDB, SQS, and S3 • Experience with Snowflake, Kafka, or similar data and event-streaming technologies • Experience building systems that connect product usage data with commercial or billing workflows
• 90% healthcare premiums company covered • HSA company contribution • 401(k) match at 4% with immediate vesting • Flexible PTO (typically 3 to 4 weeks a year) • 10 paid holidays • Monthly contributions for life activities & wellness • Access to LinkedIn Learning with monthly dedicated time to explore • Connection, access, and mentorship from exceptional leaders • Growing company with opportunities for advancement • Authenticity and accountability from leadership
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