[All remote jobs](https://jobicy.com/jobs.md)[![NetDocuments logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/d08d5ca3-221.png)](https://jobicy.com/company/netdocuments.md)[NetDocuments](https://jobicy.com/company/netdocuments.md) # Senior Software Engineer – AI Growth Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/netdocuments.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 145k–165k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished19 Oct 2026Apply before18 Nov 2026Listing views52Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. NetDocuments is hiring a Senior Software Engineer for its AI Growth team to build backend services and data pipelines supporting AI usage metering, reporting, billing integrations, and model availability. The role centers on C# and AWS-based distributed, event-driven systems, including services such as Lambda, DynamoDB, SQS, and S3. This engineer will own services through design, deployment, reliability monitoring, and production support while helping establish a new team’s architecture and practices. Close collaboration with Product, AI, Business Intelligence, Finance, and Platform Engineering is essential to translate usage data and commercial requirements into scalable technical solutions. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior-level role requiring ownership of production distributed systems, data pipelines, billing-related integrations, and operational reliability. The newly formed team and cross-functional commercial context add ambiguity and architectural responsibility. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per year)Market rate$155,000US market range (per year)$150k–$190k0$209.00k AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a compensation range of $145,000–$165,000 USD. The annual period is inferred from the compensation level and the conventions for a full-time senior software engineering role in the US. A reasonable estimated US market range for comparable senior backend/cloud engineering roles is $150,000–$190,000 USD per year. ## Core skills Skills and capabilities most closely associated with this opportunity. [C#](https://jobicy.com/jobs?search_keywords=C%23.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Distributed systems](https://jobicy.com/jobs?search_keywords=Distributed%20systems.md)[Backend engineering](https://jobicy.com/jobs?search_keywords=Backend%20engineering.md)[Event-driven architecture](https://jobicy.com/jobs?search_keywords=Event-driven%20architecture.md)[Data pipelines](https://jobicy.com/jobs?search_keywords=Data%20pipelines.md)[AWS Lambda](https://jobicy.com/jobs?search_keywords=AWS%20Lambda.md)[Amazon DynamoDB](https://jobicy.com/jobs?search_keywords=Amazon%20DynamoDB.md)[Amazon SQS](https://jobicy.com/jobs?search_keywords=Amazon%20SQS.md)[Amazon S3](https://jobicy.com/jobs?search_keywords=Amazon%20S3.md)[Billing integrations](https://jobicy.com/jobs?search_keywords=Billing%20integrations.md)[Usage metering](https://jobicy.com/jobs?search_keywords=Usage%20metering.md)[Production reliability](https://jobicy.com/jobs?search_keywords=Production%20reliability.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Code review](https://jobicy.com/jobs?search_keywords=Code%20review.md) Sample interview questionsHow would you design a scalable AI usage-metering platform for multiple product services?I would define an immutable usage-event schema with idempotency keys, publish events through a durable queue or stream, and process them with independently scalable consumers. I would store raw events for auditability, create aggregated usage records for reporting and billing, and implement reconciliation, dead-letter handling, monitoring, and access controls. Describe a production issue involving an event-driven data pipeline and how you resolved it. I would first assess customer and data impact through dashboards, logs, queue depth, and error rates. I would mitigate the immediate issue by pausing unsafe consumers, replaying recoverable messages, or applying a targeted fix, then perform root-cause analysis and add safeguards such as idempotent writes, alerts, retry policies, and runbook updates. What trade-offs would you consider when choosing between DynamoDB and a relational database for usage data? I would evaluate access patterns, throughput, latency, consistency needs, query flexibility, and operational cost. DynamoDB is well suited to predictable, high-volume key-based reads and writes, while a relational database may be better for complex joins and transactional reporting; a practical design may use both, with operational data separated from analytical workloads. How do you ensure a backend integration with billing systems remains accurate and auditable? I would use versioned contracts, explicit identifiers, idempotent operations, validation rules, and immutable source events. I would also build reconciliation jobs between product usage and billing records, preserve traceability for adjustments, and provide clear monitoring and operational procedures for failures or delayed events. How would you communicate an architectural trade-off to Finance and Product stakeholders? I would frame the decision in terms of customer impact, cost, delivery timeline, reliability, and risk rather than implementation details alone. I would present viable options, state my recommendation and assumptions, and use diagrams or concrete examples to clarify how each option affects reporting accuracy, billing readiness, and future scalability. Opportunity details ## About this role. NetDocuments is committed to providing an excellent candidate experience and will never ask you to engage in recruitment activity without phone, video, and in person meetings and communications from emails using the @netdocuments.com domain. If you have any concerns or questions about communications you have received, please send them to [hrgroup@netdocuments.com](mailto:hrgroup@netdocuments.co) so our team members can review. About NetDocuments At NetDocuments, we’re shaping the future of legal work. We believe legal professionals should spend less time searching for information and managing documents, and more time solving complex problems, serving clients, and delivering meaningful outcomes. That’s why we’re building technology that helps organizations work smarter, collaborate more effectively, and unlock the full value of their institutional knowledge. Our team is redefining what’s possible for legal technology. NetDocuments is the trusted intelligent document management platform for legal professionals and the company behind the industry’s first and only legal context graph—a breakthrough that gives legal professionals and AI a richer understanding of how matters, documents, people, and knowledge connect across an organization while respecting enterprise-grade security, governance, permissions, and ethical walls. Innovation is only part of our story. We believe our greatest strength is our people. We foster a collaborative, inclusive, and high-performing culture where curiosity is encouraged, diverse perspectives are valued, and employees are empowered to make a meaningful impact. Whether you’re building products, serving customers, or supporting the business, your work helps shape the future of one of the world’s most trusted legal technology platforms. That commitment to our employees and customers has earned us recognition as one of the nation’s top workplaces, including: * Four consecutive appearances on the Inc. 5000 list of America’s Fastest-Growing Private Companies * Five-time Top Workplace USA winner * Five-time Salt Lake Tribune Top Workplace * Multiple Top Workplaces Culture Excellence awards recognizing innovation, employee appreciation, work-life flexibility, and compensation & benefits If you’re excited to solve meaningful challenges, work alongside talented colleagues, and help define the next generation of legal technology, we’d love to meet you. What You’ll Do NetDocuments is seeking a Senior Software Engineer – Growth to join our AI Growth team and help build the systems that enable customers to understand, adopt, and realize value from AI across our platform. You’ll build and maintain backend services and data pipelines that power AI usage metering, reporting, billing integrations, and model availability. As part of a newly formed team, you’ll work closely with Product, AI, Business Intelligence, Finance, and Platform Engineering to solve complex technical and data challenges while helping establish the architecture and engineering practices that will support the team as it grows. You will: Design & Build * 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. System Design & Architecture * 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. Reliability & Operational Excellence * 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. Cross-Functional Collaboration * 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. Problem Solving & Ownership * 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. What You’ll Need to Be Successful * 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. What Will Make You Stand Out * 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. What You’ll Love About NetDocuments * The People! * 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 Compensation Transparency The compensation range for this position is: $145,000 – $165,000 The posted cash compensation for this position includes on target earnings. Some roles may qualify for overtime pay. Individual compensation packages are determined based on various factors specific to each candidate, such as career level, skills, experience, geographic location, qualifications, and other job-related considerations. Equal Opportunity NetDocuments is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. All employment decisions are based on business needs, job requirements, individual qualifications, without regard to race, color, religion, sex, (including pregnancy), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity and/or expression, military and veteran status, or any other status protected by laws or regulations in the locations where we operate. NetDocuments believes diversity and inclusion among our employees is critical to our success, and we are committed to providing a work environment free of discrimination and harassment. 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