Note: The job is a remote job and is open to candidates in USA. NetDocuments is a legal technology company building intelligent document management and AI solutions for legal professionals. The Senior Software Engineer will join the AI Growth team to build backend services, data pipelines, integrations, and distributed systems supporting AI usage metering, reporting, billing, and model availability.

Responsibilities

• Build and maintain production-grade backend services that support AI usage metering, reporting, billing integrations, and model availability
• Design and develop data pipelines and event-driven systems that reliably process 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 actively participate in code reviews to improve engineering quality across the team
• Contribute to system design and architecture decisions across backend services, data pipelines, and integrations
• Evaluate technical trade-offs and help establish scalable patterns as the AI Growth platform evolves
• Design distributed systems using AWS services such as Lambda, DynamoDB, SQS, and S3
• Contribute to event-driven architectures and data infrastructure supporting AI usage and product analytics
• Help translate evolving product and business requirements into clear, scalable technical solutions
• Own the reliability and operational health of the services you build
• Investigate and resolve production issues across backend services, integrations, and data pipelines
• Monitor system health and identify opportunities to improve performance, reliability, and scalability
• Build systems with production support, observability, and long-term maintainability in mind
• Partner with AI Tools, Business Intelligence, Finance, Platform Engineering, and Product teams on integrations and shared initiatives
• Work with technical and non-technical stakeholders to understand requirements and translate them into engineering solutions
• Surface technical trade-offs and help stakeholders understand the impact of architectural and implementation decisions
• Support engineers through code reviews, pairing, and sharing technical context as the team grows
• Take ownership of engineering work from initial requirements through implementation, deployment, and ongoing support
• Break ambiguous or loosely defined problems into concrete, deliverable technical solutions
• Connect engineering decisions to customer adoption, product usage, and broader business outcomes
• Help establish technical practices and processes as the AI Growth team and its responsibilities mature

Skills

• 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

Benefits

• 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

Company Overview

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