Staff Software Engineer – Platform and Cloud Services

🕒 Setembro 11

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

☁️ Engenheiro de Cloud

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Agiloft

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1991

⚖️ Jurídico

💼 Consultoria

🏥 Saúde

💰 $45.000.000 Private Equity Round em 2020-08

Legal • Consulting • Healthcare

A Agiloft é uma fornecedora líder de soluções de gestão do ciclo de vida de contratos empresariais (CLM), projetadas para otimizar e aprimorar o processo de contratação. Sua plataforma de acordos orientada por dados é um multiplicador de força que ajuda as organizações a alcançar acordos de forma rápida e colaborativa, aproveitando os dados para operar de maneira mais inteligente e transparente. As ofertas da Agiloft incluem hubs de integração e uma plataforma de IA feita sob medida para serviços empresariais, saúde, profissionais jurídicos e compras. Com uma alta taxa de retenção de clientes e reconhecimento como líder no Quadrante Mágico da Gartner para CLM, a Agiloft é conhecida por sua interface amigável sem código e por seu serviço e suporte robustos. A empresa enfatiza relacionamentos diretos e confiança, prometendo ajudar os clientes a "Concordar e Prosperar".

Descrição

• Own canonical data models and service boundaries within a critical platform domain • Design durable, backward-compatible platform architectures and reusable abstractions • Design AWS-native, event-driven, asynchronous, scalable, resilient, and cost-efficient services • Architect backend systems supporting AI/ML workloads at scale • Ensure tenant isolation, authentication, authorization, secure token handling, permission-aware data access, and credential management • Lead technical design of major platform initiatives from design through release • Partner with product and engineering leaders to translate customer and business needs into platform architectures • Align cross-functional stakeholders around technical direction • Produce design documents, service contracts, acceptance criteria, and API contracts • Establish contract tests and permission-enforcement validation • Champion infrastructure-as-code, automated testing, continuous delivery, and observability • Lead platform modernization and refactoring initiatives • Contribute across the stack when needed, with backend as the primary focus • Unblock teams and accelerate architectural decisions • Partner with CloudOps, Security, MLOps, and integration teams on reliability and operational-readiness standards • Mentor senior and mid-level engineers • Drive pragmatic adoption of rapidly evolving AI capabilities

🎯 Requisitos

• Bachelor's and/or master's degree in Computer Science, Information Systems, Software or Electrical/Electronics Engineering, or a comparable field • 8+ years of professional software engineering experience, including 2+ years at staff level • Demonstrated leadership of architecture decisions spanning multiple teams • Ability to drive technical outcomes across diverse stakeholders and teams without direct authority • Track record of owning significant initiatives end to end, including release ownership • Strong proficiency in Python; working experience in Java is a plus • Deep experience designing, building, and operating scalable, enterprise-grade distributed systems on AWS • Strong data-modeling and service-architecture skills • Experience with high-throughput data pipelines, asynchronous processing, or ML/inference services at scale • Solid grounding in application security and multi-tenancy, including authentication/authorization, token handling, tenant isolation, and permission-aware data access • Experience designing high-scale API contracts • Strong experience with infrastructure-as-code and CI/CD for cloud services • Strong understanding of observability in distributed systems, including logging, metrics, tracing, and alerting • Habit of staying current with rapidly evolving AI capabilities and integrating them into work and design • Excellent written and verbal communication in English • Preferred: experience building AI/ML product services and data pipelines • Preferred: experience integrating third-party SaaS platforms and connectors • Preferred: search and retrieval systems experience • Preferred: familiarity with CLM, contracts, or comparable enterprise B2B platforms

🏖️ Benefícios

• Medical, dental, and vision insurance • Short-term and long-term disability • Life insurance and AD&D • Supplemental life insurance for employees, spouses, and children • Health care and dependent care Flexible Spending Accounts • 401(k) with company match • Paid time off • Flexible Vacation for eligible salaried employees • Paid parental leave • Voluntary benefits including pet insurance • Floating holidays • Quarterly, no-questions-asked wellness day • Employee Resource Groups (ERGs) • Healthy work/life balance

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