Senior Software Engineer - AI Growth & Backend Systems

NetDocuments

Lehi (UT)

Remote

USD 145,000 - 165,000

Full time

5 days ago

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Benefits offered by this job

Health premiums covered

HSA company contribution

401(k) match

Flexible PTO

Job summary

NetDocuments, a leading legal tech platform, seeks a Senior Software Engineer for Growth to build backend services powering AI usage metering, reporting, and billing integrations. You will shape data pipelines and event-driven systems at scale, collaborating with Product, AI, BI, Finance, and Platform Engineering to deliver reliable, scalable solutions.

The role emphasizes cloud-native design, production readiness, and cross-team partnership, with a focus on measurable customer value and

Qualifications

Bachelor's degree 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.

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.