Senior Software Engineer – AI Growth

🕒 Outubro 2

⛷️ Utah – Remoto

⛷️ Utah – Remote

💵 $145.000 - $165.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

NetDocuments

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1998

🤝 B2B

⚖️ Jurídico

☁️ SaaS

B2B • Legal • SaaS

NetDocuments é uma plataforma de gestão de documentos baseada em nuvem, projetada especificamente para a indústria legal. A plataforma visa ajudar os profissionais do direito a organizarem, gerenciarem e colaborarem em documentos de forma segura, aproveitando tecnologias avançadas como IA e automação para melhorar fluxos de trabalho e produtividade. Com integrações no Microsoft 365 e várias aplicações legais, a NetDocuments permite que escritórios de advocacia e departamentos jurídicos corporativos melhorem a eficiência e a prestação de serviços, garantindo a conformidade e a segurança das informações dos clientes.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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